Overview

Brought to you by YData

Dataset statistics

Number of variables208
Number of observations108
Missing cells5905
Missing cells (%)26.3%
Total size in memory185.5 KiB
Average record size in memory1.7 KiB

Variable types

Text5
Numeric176
DateTime3
Unsupported4
Boolean20

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
experimentidExperiment Id
lastpagelastpage
submitdatesubmitdate
startlanguagestartlanguage
startdatestartdate
datestampdatestamp
refurlrefurl
A00_1nan
A00_2nan
A01Which gender were you born? Answer: Male, Female
A02When were you born? Answer: Year |___|
A03What is your nationality? Answer: List, see Appendix
A04NUMIn what faculty/department are you studying?
A04UCIn what faculty/department are you studying?
A04UNITNIn what faculty/department are you studying?
A05Type of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)
A05UNITNType of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)
A07Course year Answer: |__|
A11NUMWhat kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends
A11What kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends
R03nan
B01_1Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 1.Am the life of the party,
B01_2Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 2.Sympathize with others’ feelings
B01_3Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 3.Get chores done right away
B01_4Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 4.Have frequent mood swings
B01_5Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 5.Have a vivid imagination
B01_6Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 6.Don’t talk a lot
B01_7Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 7.Am not interested in other people’s problems
B01_8Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 8.Often forget to put things back in their proper place
B01_9Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 9.Am relaxed most of the time
B01_10Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 10.Am not interested in abstract ideas
B01_11Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 11.Talk to a lot of different people at parties
B01_12Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 12.Feel others’ emotions,
B01_13Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 13.Like order
B01_14Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 14.Get upset easily
B01_15Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 15.Have difficulty understanding abstract ideas
B01_16Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 16.Keep in the background
B01_17Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 17.Am not really interested in others
B01_18Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 18.Make a mess of things
B01_19Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 19.Seldom feel blue
B01_20Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 20.Do not have a good imagination
G02_1How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Theatre plays
G02_2How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Cabarets, or a stand-up comedy.
G02_3How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Ballets or a modern dance
G02_4How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Classical music
G02_5How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Opera
G02_6How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Musical
G02_7How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Pop or rock
G02_8How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Jazz or blue
G02_9How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Folk music concert
G02_10How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: World music
G02_11How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Urban (rap, hip-hop, trap)
G02_12How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Dance or house
G02_13How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Popular national or local music
G02_14How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A singer/songwriter
G02_15How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Other music
G02_16How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A sport event
G01_1Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Acted in a theatre play
G01_2Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Directed a theatre play
G01_3Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Performed as a stand-up comedian
G01_4Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped
G01_5Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument
G01_6Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument in an orchestra or pop/rock/jazz/folk band
G01_7Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Composed music or performed as DJ
G01_8Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance),
G01_9Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Did choreography for a dance performance
T01_1Do you have a car driver’s license? Answer: 1. Yes, 2. No
T01_2Do you have a motorbike driver’s license? Answer: 1. Yes, 2. No
T01_3Do you have a bike of your own? Answer: 1. Yes, 2. No
T01_4Do you have a car of your own? Answer: 1. Yes, 2. No
T01_5Do you have a motorbike of your own? Answer: 1. Yes, 2. No
T01_6Do you have access to a car whenever you want? Answer: 1. Yes, 2. No
T01_7Do you have access to a motorbike whenever you want? Answer: 1. Yes, 2. No
T02_1What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking
T02_2What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling
T02_3What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question
T02_4What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)
T02_5What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike
T02_6What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)
T02_7What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train
T02_8What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters
C01Would you say you know how to cook? Answer: 1.Yes, I know how to cook., 2.Yes, but only basic things., 3.No, I do not know how to cook.
C04C04. How often do you cook a main meal? Answer: 1.Daily, 2Several times a week 3.Once a week 4.Less than once a week 5.Neve
C07_1Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I don’t follow a specific diet
C07_2Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I follow a vegetarian or vegan diet
C07_3Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid certain foods for religious or cultural reasons
C07_4Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)
C07_5Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I have no health issues but follow a health-food diet rigidly
C07_6Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I limit consumption of certain foods to lose/maintain weight
C07_7Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I like to try new foods and tastes.
C08Which of the following statements best describes you? Answer: 1.For me, eating is a pleasure, 2.Eating for me is just a way not to feel hungry.
C10_1Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Organic
C10_2Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Zero-mile
C10_3Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements
C10_4Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Dietary supplements - vitamins, iron, potassium...
C10_5Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Frozen items
C10_6Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Allergen-free products - gluten free, lactose free
C10_7Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Ready meals - to be just heated or defrosted in microwave/oven
C12_1How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops)
C12_2How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Organic Shops
C12_3How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Supermarkets
C12_4How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Discount supermarket
C12_5How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Street markets
D01Beyond walking about, do you engage in other physical activities? Answer: 1. Yes 2. No
D02Have you been physically active on a regular basis in the last year or so? Answer: 1.Yes 2.No [If D01=No and D02=No go to F01]
D03_1During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping
D03_2During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates
D03_3During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing
D03_4During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Weightlifting and resistance training including free weights, bench press, leg press, push ups, pull ups or sit ups
D03_5During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball
D03_6During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Boxing and martial arts like judo, karate and taekwondo
D03_7During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Racket sports such as tennis, ping pong, and squash
D03_8During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding
D04How often do you do physical exercise? Answer: 1.Every few weeks or less, 2.Once or twice a week, 3.Three to five days a week, 4.Six to seven days a week
D06_1When exercising, which of the following devices do you use? (Multiple choice) Answer: Wearable fitness trackers
D06_2When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartwatches
D06_3When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartphone fitness apps
D06_4When exercising, which of the following devices do you use? (Multiple choice) Answer: Headphones
D06_5When exercising, which of the following devices do you use? (Multiple choice)
D06_otherWhen exercising, which of the following devices do you use? (Multiple choice) Answer: Other, please specify: ______
M01_1Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Writing is a natural way for me to express myself.
M01_2Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.
M01_3Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I have recently written something that I am especially proud of, or for which I have received recognition.
M01_4Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Metaphors and vivid verbal expressions help me learn efficiently.
M01_5Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school I was good at mathematics, physics or chemistry.
M01_6Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can work with and solve complex problems.
M01_7Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Mental arithmetic is easy for me.
M01_8Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at games and problem solving, which require logical thinking.
M01_9Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.
M01_10Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is easy for me to conceptualize complex and multidimensional patterns.
M01_11Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily imagine how a landscape looks from a bird’s-eye view.
M01_12Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When I read, I form illustrative pictures or designs in my mind.
M01_13Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am handy.
M01_14Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily do something concrete with my hands (e.g. knitting and woodwork).
M01_15Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at showing how to do something in practice.
M01_16Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I was good at handicrafts at school
M01_17Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: After hearing a tune once or twice I am able to sing or whistle it quite accurately
M01_18Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When listening to music, I am able to discern instruments or recognize melodies.
M01_19Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily keep the rhythm when drumming a melody
M01_20Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I notice immediately if a melody is out of tune
M01_21Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even in strange company, I easily find someone to talk to
M01_22Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I get alone easily with different types of people
M01_23Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I make contact easily with other people.
M01_24Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In negotiations and group work, I am able to support the group to find a consensus.
M01_25Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am able to analyse my own motives and ways of action.
M01_26Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often think about my own feelings and sentiments and seek reasons for them.
M01_27Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I spend time regularly reflecting on the important issues in life.
M01_28Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I like to read psychological or philosophical literature to increase my self-knowledge.
M01_29Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I enjoy the beauty and experiences related to nature
M01_30Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Protecting the nature is important to me
M01_31Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I pay attention to my consumption habits in order to protect environment.
M01_32Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In midst of busy everyday life, I find it important to contemplate.
M01_33Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even ordinary every-day life is full of miraculous things.
M01_34Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often reflect on the meaning of life.
M01_35Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is important to me to share a quiet moment with others.
F01_1Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Thinking up new ideas and being creative is important to them. They like to do things in their own original way
F01_2Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be rich. They want to have a lot of money and expensive things
F01_3Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know
F01_4Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to show their abilities. They want people to admire what he does
F01_5Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety
F01_6Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to do lots of different things in life. They always look for new things to try
F01_7Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching
F01_8Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them
F01_9Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have
F01_10Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They seek every chance he can to have fun. It is important to them to do things that give them pleasure
F01_11Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself
F01_12Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to help the people around them. They want to care for other people
F01_13Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Being very successful is important to them. They like to impress other people
F01_14Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without
F01_15Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like to take risks. They are always looking for adventures
F01_16Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong
F01_17Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be in charge and tell others what to do. They want people to do what he says
F01_18Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be loyal to their friends. They want to devote themself to people close to them
F01_19Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They strongly believe that people should care for nature. Looking after the environment is important to them
F01_20Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Religious belief is important to them. They try hard to do what their religion requires
F01_21Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them that things be organized and clean. They do not want things to be a mess
F01_22Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things
F01_23Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them
F01_24Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be ambitious. They want to show how capable he is
F01_25Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned
F01_26Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Enjoying life's pleasures is important to them. They like to 'spoil' themself
F01_27Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to respond to the needs of others. They try to support those he knows
F01_28Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be obedient. They believe he should always show respect to their parents and to older people
F01_29Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society
F01_30Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like surprises. It is important to them to have an exciting life
F01_31Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They try hard to avoid getting sick. Staying healthy is very important to them
F01_32Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Getting ahead in life is important to them. They strive to do better than others
F01_33Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge
F01_34Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be independent. They like to rely on themself
F01_35Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Having a stable government is important to them. They are concerned that the social order be protected
F01_36Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations
F01_37Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They really want to enjoy life. Having a good time is very important to them
F01_38Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be humble and modest. They try not to draw to themself
F01_39Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They always want to be the one who makes the decisions. They like to be the leader
F01_40Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature
interviewtimeinterviewtime
GT_A00nan
GT_A01nan
GT_Rnan
GT_Bnan
GT_Gnan
GT_Fnan
GT_Tnan
GT_Cnan
GT_Dnan
GT_Mnan
GT_Inan

Alerts

experimentid has constant value "wenetItaly2" Constant
startlanguage has constant value "it" Constant
G01_2 has constant value "2" Constant
G01_3 has constant value "2" Constant
D06_other has constant value "Quaderno per annotare serie e ripetizioni" Constant
T02_1 is highly imbalanced (53.5%) Imbalance
T02_5 is highly imbalanced (71.6%) Imbalance
T02_8 is highly imbalanced (90.4%) Imbalance
C07_3 is highly imbalanced (90.4%) Imbalance
lastpage has 8 (7.4%) missing values Missing
submitdate has 28 (25.9%) missing values Missing
refurl has 68 (63.0%) missing values Missing
A00_1 has 8 (7.4%) missing values Missing
A00_2 has 9 (8.3%) missing values Missing
A01 has 14 (13.0%) missing values Missing
A02 has 14 (13.0%) missing values Missing
A03 has 10 (9.3%) missing values Missing
A04NUM has 108 (100.0%) missing values Missing
A04UC has 108 (100.0%) missing values Missing
A04UNITN has 16 (14.8%) missing values Missing
A05 has 108 (100.0%) missing values Missing
A05UNITN has 15 (13.9%) missing values Missing
A07 has 16 (14.8%) missing values Missing
A11NUM has 108 (100.0%) missing values Missing
A11 has 16 (14.8%) missing values Missing
R03 has 19 (17.6%) missing values Missing
B01_1 has 19 (17.6%) missing values Missing
B01_2 has 19 (17.6%) missing values Missing
B01_3 has 19 (17.6%) missing values Missing
B01_4 has 19 (17.6%) missing values Missing
B01_5 has 19 (17.6%) missing values Missing
B01_6 has 19 (17.6%) missing values Missing
B01_7 has 19 (17.6%) missing values Missing
B01_8 has 19 (17.6%) missing values Missing
B01_9 has 19 (17.6%) missing values Missing
B01_10 has 19 (17.6%) missing values Missing
B01_11 has 19 (17.6%) missing values Missing
B01_12 has 19 (17.6%) missing values Missing
B01_13 has 19 (17.6%) missing values Missing
B01_14 has 19 (17.6%) missing values Missing
B01_15 has 19 (17.6%) missing values Missing
B01_16 has 19 (17.6%) missing values Missing
B01_17 has 19 (17.6%) missing values Missing
B01_18 has 19 (17.6%) missing values Missing
B01_19 has 19 (17.6%) missing values Missing
B01_20 has 19 (17.6%) missing values Missing
G02_1 has 22 (20.4%) missing values Missing
G02_2 has 21 (19.4%) missing values Missing
G02_3 has 21 (19.4%) missing values Missing
G02_4 has 21 (19.4%) missing values Missing
G02_5 has 21 (19.4%) missing values Missing
G02_6 has 21 (19.4%) missing values Missing
G02_7 has 21 (19.4%) missing values Missing
G02_8 has 21 (19.4%) missing values Missing
G02_9 has 21 (19.4%) missing values Missing
G02_10 has 23 (21.3%) missing values Missing
G02_11 has 21 (19.4%) missing values Missing
G02_12 has 21 (19.4%) missing values Missing
G02_13 has 21 (19.4%) missing values Missing
G02_14 has 21 (19.4%) missing values Missing
G02_15 has 21 (19.4%) missing values Missing
G02_16 has 21 (19.4%) missing values Missing
G01_1 has 21 (19.4%) missing values Missing
G01_2 has 22 (20.4%) missing values Missing
G01_3 has 21 (19.4%) missing values Missing
G01_4 has 21 (19.4%) missing values Missing
G01_5 has 21 (19.4%) missing values Missing
G01_6 has 21 (19.4%) missing values Missing
G01_7 has 21 (19.4%) missing values Missing
G01_8 has 21 (19.4%) missing values Missing
G01_9 has 21 (19.4%) missing values Missing
T01_1 has 27 (25.0%) missing values Missing
T01_2 has 27 (25.0%) missing values Missing
T01_3 has 28 (25.9%) missing values Missing
T01_4 has 27 (25.0%) missing values Missing
T01_5 has 27 (25.0%) missing values Missing
T01_6 has 27 (25.0%) missing values Missing
T01_7 has 27 (25.0%) missing values Missing
T02_1 has 27 (25.0%) missing values Missing
T02_2 has 27 (25.0%) missing values Missing
T02_3 has 27 (25.0%) missing values Missing
T02_4 has 27 (25.0%) missing values Missing
T02_5 has 27 (25.0%) missing values Missing
T02_6 has 27 (25.0%) missing values Missing
T02_7 has 27 (25.0%) missing values Missing
T02_8 has 27 (25.0%) missing values Missing
C01 has 27 (25.0%) missing values Missing
C04 has 27 (25.0%) missing values Missing
C07_1 has 27 (25.0%) missing values Missing
C07_2 has 27 (25.0%) missing values Missing
C07_3 has 27 (25.0%) missing values Missing
C07_4 has 27 (25.0%) missing values Missing
C07_5 has 27 (25.0%) missing values Missing
C07_6 has 27 (25.0%) missing values Missing
C07_7 has 27 (25.0%) missing values Missing
C08 has 28 (25.9%) missing values Missing
C10_1 has 27 (25.0%) missing values Missing
C10_2 has 27 (25.0%) missing values Missing
C10_3 has 27 (25.0%) missing values Missing
C10_4 has 27 (25.0%) missing values Missing
C10_5 has 27 (25.0%) missing values Missing
C10_6 has 27 (25.0%) missing values Missing
C10_7 has 27 (25.0%) missing values Missing
C12_1 has 27 (25.0%) missing values Missing
C12_2 has 27 (25.0%) missing values Missing
C12_3 has 27 (25.0%) missing values Missing
C12_4 has 27 (25.0%) missing values Missing
C12_5 has 27 (25.0%) missing values Missing
D01 has 27 (25.0%) missing values Missing
D02 has 27 (25.0%) missing values Missing
D03_1 has 61 (56.5%) missing values Missing
D03_2 has 61 (56.5%) missing values Missing
D03_3 has 61 (56.5%) missing values Missing
D03_4 has 61 (56.5%) missing values Missing
D03_5 has 61 (56.5%) missing values Missing
D03_6 has 61 (56.5%) missing values Missing
D03_7 has 61 (56.5%) missing values Missing
D03_8 has 61 (56.5%) missing values Missing
D04 has 61 (56.5%) missing values Missing
D06_1 has 61 (56.5%) missing values Missing
D06_2 has 61 (56.5%) missing values Missing
D06_3 has 61 (56.5%) missing values Missing
D06_4 has 61 (56.5%) missing values Missing
D06_5 has 61 (56.5%) missing values Missing
D06_other has 107 (99.1%) missing values Missing
M01_1 has 29 (26.9%) missing values Missing
M01_2 has 29 (26.9%) missing values Missing
M01_3 has 29 (26.9%) missing values Missing
M01_4 has 29 (26.9%) missing values Missing
M01_5 has 29 (26.9%) missing values Missing
M01_6 has 29 (26.9%) missing values Missing
M01_7 has 29 (26.9%) missing values Missing
M01_8 has 29 (26.9%) missing values Missing
M01_9 has 29 (26.9%) missing values Missing
M01_10 has 29 (26.9%) missing values Missing
M01_11 has 29 (26.9%) missing values Missing
M01_12 has 29 (26.9%) missing values Missing
M01_13 has 29 (26.9%) missing values Missing
M01_14 has 29 (26.9%) missing values Missing
M01_15 has 29 (26.9%) missing values Missing
M01_16 has 30 (27.8%) missing values Missing
M01_17 has 29 (26.9%) missing values Missing
M01_18 has 29 (26.9%) missing values Missing
M01_19 has 29 (26.9%) missing values Missing
M01_20 has 29 (26.9%) missing values Missing
M01_21 has 29 (26.9%) missing values Missing
M01_22 has 30 (27.8%) missing values Missing
M01_23 has 29 (26.9%) missing values Missing
M01_24 has 29 (26.9%) missing values Missing
M01_25 has 29 (26.9%) missing values Missing
M01_26 has 30 (27.8%) missing values Missing
M01_27 has 29 (26.9%) missing values Missing
M01_28 has 29 (26.9%) missing values Missing
M01_29 has 29 (26.9%) missing values Missing
M01_30 has 29 (26.9%) missing values Missing
M01_31 has 29 (26.9%) missing values Missing
M01_32 has 30 (27.8%) missing values Missing
M01_33 has 29 (26.9%) missing values Missing
M01_34 has 30 (27.8%) missing values Missing
M01_35 has 29 (26.9%) missing values Missing
F01_1 has 26 (24.1%) missing values Missing
F01_2 has 26 (24.1%) missing values Missing
F01_3 has 26 (24.1%) missing values Missing
F01_4 has 27 (25.0%) missing values Missing
F01_5 has 26 (24.1%) missing values Missing
F01_6 has 26 (24.1%) missing values Missing
F01_7 has 26 (24.1%) missing values Missing
F01_8 has 26 (24.1%) missing values Missing
F01_9 has 26 (24.1%) missing values Missing
F01_10 has 26 (24.1%) missing values Missing
F01_11 has 26 (24.1%) missing values Missing
F01_12 has 27 (25.0%) missing values Missing
F01_13 has 26 (24.1%) missing values Missing
F01_14 has 26 (24.1%) missing values Missing
F01_15 has 26 (24.1%) missing values Missing
F01_16 has 26 (24.1%) missing values Missing
F01_17 has 26 (24.1%) missing values Missing
F01_18 has 26 (24.1%) missing values Missing
F01_19 has 26 (24.1%) missing values Missing
F01_20 has 26 (24.1%) missing values Missing
F01_21 has 26 (24.1%) missing values Missing
F01_22 has 27 (25.0%) missing values Missing
F01_23 has 27 (25.0%) missing values Missing
F01_24 has 26 (24.1%) missing values Missing
F01_25 has 26 (24.1%) missing values Missing
F01_26 has 26 (24.1%) missing values Missing
F01_27 has 26 (24.1%) missing values Missing
F01_28 has 26 (24.1%) missing values Missing
F01_29 has 26 (24.1%) missing values Missing
F01_30 has 26 (24.1%) missing values Missing
F01_31 has 26 (24.1%) missing values Missing
F01_32 has 26 (24.1%) missing values Missing
F01_33 has 26 (24.1%) missing values Missing
F01_34 has 26 (24.1%) missing values Missing
F01_35 has 26 (24.1%) missing values Missing
F01_36 has 26 (24.1%) missing values Missing
F01_37 has 26 (24.1%) missing values Missing
F01_38 has 26 (24.1%) missing values Missing
F01_39 has 26 (24.1%) missing values Missing
F01_40 has 26 (24.1%) missing values Missing
GT_A00 has 8 (7.4%) missing values Missing
GT_A01 has 14 (13.0%) missing values Missing
GT_R has 17 (15.7%) missing values Missing
GT_B has 19 (17.6%) missing values Missing
GT_G has 21 (19.4%) missing values Missing
GT_F has 25 (23.1%) missing values Missing
GT_T has 27 (25.0%) missing values Missing
GT_C has 27 (25.0%) missing values Missing
GT_D has 27 (25.0%) missing values Missing
GT_M has 29 (26.9%) missing values Missing
GT_I has 29 (26.9%) missing values Missing
startdate has unique values Unique
datestamp has unique values Unique
A04NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
A04UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
A05 is an unsupported type, check if it needs cleaning or further analysis Unsupported
A11NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
R03 has 35 (32.4%) zeros Zeros
interviewtime has 8 (7.4%) zeros Zeros

Reproduction

Analysis started2025-03-05 09:33:34.416741
Analysis finished2025-03-05 09:33:36.904841
Duration2.49 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

token

Distinct103
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2025-03-05T10:33:37.155462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters1620
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)90.7%

Sample

1st rowEJNWdDfVFnEXgYC
2nd rowrrsJmd1D4YaU4c7
3rd rowHuvlYVFLCcStvGR
4th rowkVaS3FY3XhBZgjT
5th rowq3C28hiipqJS2JA
ValueCountFrequency (%)
e0lbxjwszua3cc5 2
 
1.9%
jtvw4qyjdkrlgg3 2
 
1.9%
qnduak3fkqgfwdw 2
 
1.9%
bsuzgcuzgdlexhp 2
 
1.9%
zk8s0aonaoyc52k 2
 
1.9%
ejnwddfvfnexgyc 1
 
0.9%
rrsjmd1d4yau4c7 1
 
0.9%
huvlyvflccstvgr 1
 
0.9%
kvas3fy3xhbzgjt 1
 
0.9%
q3c28hiipqjs2ja 1
 
0.9%
Other values (93) 93
86.1%
2025-03-05T10:33:37.857335image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 49
 
3.0%
z 47
 
2.9%
L 37
 
2.3%
N 37
 
2.3%
q 36
 
2.2%
f 35
 
2.2%
0 34
 
2.1%
c 34
 
2.1%
3 33
 
2.0%
Y 33
 
2.0%
Other values (52) 1245
76.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1620
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 49
 
3.0%
z 47
 
2.9%
L 37
 
2.3%
N 37
 
2.3%
q 36
 
2.2%
f 35
 
2.2%
0 34
 
2.1%
c 34
 
2.1%
3 33
 
2.0%
Y 33
 
2.0%
Other values (52) 1245
76.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1620
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 49
 
3.0%
z 47
 
2.9%
L 37
 
2.3%
N 37
 
2.3%
q 36
 
2.2%
f 35
 
2.2%
0 34
 
2.1%
c 34
 
2.1%
3 33
 
2.0%
Y 33
 
2.0%
Other values (52) 1245
76.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1620
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 49
 
3.0%
z 47
 
2.9%
L 37
 
2.3%
N 37
 
2.3%
q 36
 
2.2%
f 35
 
2.2%
0 34
 
2.1%
c 34
 
2.1%
3 33
 
2.0%
Y 33
 
2.0%
Other values (52) 1245
76.9%

experimentid
Text

Constant 

Experiment Id

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2025-03-05T10:33:38.134749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1188
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetItaly2
2nd rowwenetItaly2
3rd rowwenetItaly2
4th rowwenetItaly2
5th rowwenetItaly2
ValueCountFrequency (%)
wenetitaly2 108
100.0%
2025-03-05T10:33:38.653780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 216
18.2%
t 216
18.2%
w 108
9.1%
n 108
9.1%
I 108
9.1%
a 108
9.1%
l 108
9.1%
y 108
9.1%
2 108
9.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1188
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 216
18.2%
t 216
18.2%
w 108
9.1%
n 108
9.1%
I 108
9.1%
a 108
9.1%
l 108
9.1%
y 108
9.1%
2 108
9.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1188
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 216
18.2%
t 216
18.2%
w 108
9.1%
n 108
9.1%
I 108
9.1%
a 108
9.1%
l 108
9.1%
y 108
9.1%
2 108
9.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1188
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 216
18.2%
t 216
18.2%
w 108
9.1%
n 108
9.1%
I 108
9.1%
a 108
9.1%
l 108
9.1%
y 108
9.1%
2 108
9.1%

lastpage
Real number (ℝ)

Missing 

lastpage

Distinct9
Distinct (%)9.0%
Missing8
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean9.52
Minimum-1
Maximum11
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.9%
Memory size1.1 KiB
2025-03-05T10:33:38.905692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile1
Q111
median11
Q311
95-th percentile11
Maximum11
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.201893379
Coefficient of variation (CV)0.3363333382
Kurtosis2.300509312
Mean9.52
Median Absolute Deviation (MAD)0
Skewness-1.945303511
Sum952
Variance10.25212121
MonotonicityNot monotonic
2025-03-05T10:33:39.183841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
11 80
74.1%
1 5
 
4.6%
5 4
 
3.7%
4 2
 
1.9%
9 2
 
1.9%
3 2
 
1.9%
6 2
 
1.9%
2 2
 
1.9%
-1 1
 
0.9%
(Missing) 8
 
7.4%
ValueCountFrequency (%)
-1 1
 
0.9%
1 5
4.6%
2 2
 
1.9%
3 2
 
1.9%
4 2
 
1.9%
ValueCountFrequency (%)
11 80
74.1%
9 2
 
1.9%
6 2
 
1.9%
5 4
 
3.7%
4 2
 
1.9%

submitdate
Date

Missing 

submitdate

Distinct80
Distinct (%)100.0%
Missing28
Missing (%)25.9%
Memory size996.0 B
Minimum2021-10-20 14:20:53
Maximum2021-10-27 21:28:39
2025-03-05T10:33:39.469989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-03-05T10:33:39.811265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

startlanguage
Text

Constant 

startlanguage

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2025-03-05T10:33:40.014529image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters216
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowit
2nd rowit
3rd rowit
4th rowit
5th rowit
ValueCountFrequency (%)
it 108
100.0%
2025-03-05T10:33:40.395427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 108
50.0%
t 108
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 216
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 108
50.0%
t 108
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 216
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 108
50.0%
t 108
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 216
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 108
50.0%
t 108
50.0%

startdate
Date

Unique 

startdate

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2021-10-20 14:10:02
Maximum2021-10-29 12:27:06
2025-03-05T10:33:40.665190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-03-05T10:33:41.036698image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

datestamp
Date

Unique 

datestamp

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2021-10-20 14:16:33
Maximum2021-10-29 12:27:37
2025-03-05T10:33:41.406542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-03-05T10:33:41.762351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

refurl
Text

Missing 

refurl

Distinct2
Distinct (%)5.0%
Missing68
Missing (%)63.0%
Memory size1.5 KiB
2025-03-05T10:33:42.030976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.775
Min length4

Characters and Unicode

Total characters511
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)2.5%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
3rd rowandroid-gmail
4th rowandroid-gmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 39
97.5%
mail 1
 
2.5%
2025-03-05T10:33:42.443057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 79
15.5%
i 79
15.5%
d 78
15.3%
m 40
7.8%
l 40
7.8%
n 39
7.6%
r 39
7.6%
o 39
7.6%
- 39
7.6%
g 39
7.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 511
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 79
15.5%
i 79
15.5%
d 78
15.3%
m 40
7.8%
l 40
7.8%
n 39
7.6%
r 39
7.6%
o 39
7.6%
- 39
7.6%
g 39
7.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 511
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 79
15.5%
i 79
15.5%
d 78
15.3%
m 40
7.8%
l 40
7.8%
n 39
7.6%
r 39
7.6%
o 39
7.6%
- 39
7.6%
g 39
7.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 511
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 79
15.5%
i 79
15.5%
d 78
15.3%
m 40
7.8%
l 40
7.8%
n 39
7.6%
r 39
7.6%
o 39
7.6%
- 39
7.6%
g 39
7.6%

A00_1
Real number (ℝ)

Missing 

nan

Distinct2
Distinct (%)2.0%
Missing8
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean1.01
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:42.651075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1
Coefficient of variation (CV)0.09900990099
Kurtosis100
Mean1.01
Median Absolute Deviation (MAD)0
Skewness10
Sum101
Variance0.01
MonotonicityNot monotonic
2025-03-05T10:33:42.881883image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 99
91.7%
2 1
 
0.9%
(Missing) 8
 
7.4%
ValueCountFrequency (%)
1 99
91.7%
2 1
 
0.9%
ValueCountFrequency (%)
2 1
 
0.9%
1 99
91.7%

A00_2
Real number (ℝ)

Missing 

nan

Distinct2
Distinct (%)2.0%
Missing9
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean1.02020202
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:43.106949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.141406779
Coefficient of variation (CV)0.1386066447
Kurtosis46.91688809
Mean1.02020202
Median Absolute Deviation (MAD)0
Skewness6.925986508
Sum101
Variance0.01999587714
MonotonicityNot monotonic
2025-03-05T10:33:43.343497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 97
89.8%
2 2
 
1.9%
(Missing) 9
 
8.3%
ValueCountFrequency (%)
1 97
89.8%
2 2
 
1.9%
ValueCountFrequency (%)
2 2
 
1.9%
1 97
89.8%

A01
Real number (ℝ)

Missing 

Which gender were you born? Answer: Male, Female

Distinct2
Distinct (%)2.1%
Missing14
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean1.574468085
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:43.567463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4970744887
Coefficient of variation (CV)0.3157094726
Kurtosis-1.948197032
Mean1.574468085
Median Absolute Deviation (MAD)0
Skewness-0.3061390526
Sum148
Variance0.2470830474
MonotonicityNot monotonic
2025-03-05T10:33:43.799600image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 54
50.0%
1 40
37.0%
(Missing) 14
 
13.0%
ValueCountFrequency (%)
1 40
37.0%
2 54
50.0%
ValueCountFrequency (%)
2 54
50.0%
1 40
37.0%

A02
Real number (ℝ)

Missing 

When were you born? Answer: Year |___|

Distinct11
Distinct (%)11.7%
Missing14
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean1998.43617
Minimum1967
Maximum2001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:44.034622image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1967
5-th percentile1993
Q11998
median2000
Q32000
95-th percentile2001
Maximum2001
Range34
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.076047291
Coefficient of variation (CV)0.002039618454
Kurtosis37.94877062
Mean1998.43617
Median Absolute Deviation (MAD)1
Skewness-5.246066818
Sum187853
Variance16.61416152
MonotonicityNot monotonic
2025-03-05T10:33:44.288920image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2000 34
31.5%
2001 21
19.4%
1998 13
 
12.0%
1995 7
 
6.5%
1999 5
 
4.6%
1997 5
 
4.6%
1993 3
 
2.8%
1992 2
 
1.9%
1996 2
 
1.9%
1991 1
 
0.9%
(Missing) 14
13.0%
ValueCountFrequency (%)
1967 1
 
0.9%
1991 1
 
0.9%
1992 2
 
1.9%
1993 3
2.8%
1995 7
6.5%
ValueCountFrequency (%)
2001 21
19.4%
2000 34
31.5%
1999 5
 
4.6%
1998 13
 
12.0%
1997 5
 
4.6%

A03
Real number (ℝ)

Missing 

What is your nationality? Answer: List, see Appendix

Distinct2
Distinct (%)2.0%
Missing10
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean104.622449
Minimum104
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:44.502645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum104
5-th percentile104
Q1104
median104
Q3104
95-th percentile104
Maximum165
Range61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.161930522
Coefficient of variation (CV)0.05889682933
Kurtosis98
Mean104.622449
Median Absolute Deviation (MAD)0
Skewness9.899494937
Sum10253
Variance37.96938776
MonotonicityNot monotonic
2025-03-05T10:33:44.715480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
104 97
89.8%
165 1
 
0.9%
(Missing) 10
 
9.3%
ValueCountFrequency (%)
104 97
89.8%
165 1
 
0.9%
ValueCountFrequency (%)
165 1
 
0.9%
104 97
89.8%

A04NUM
Unsupported

Missing  Rejected  Unsupported 

In what faculty/department are you studying?

Missing108
Missing (%)100.0%
Memory size1.1 KiB

A04UC
Unsupported

Missing  Rejected  Unsupported 

In what faculty/department are you studying?

Missing108
Missing (%)100.0%
Memory size1.1 KiB

A04UNITN
Real number (ℝ)

Missing 

In what faculty/department are you studying?

Distinct15
Distinct (%)16.3%
Missing16
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean7.543478261
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:44.940819image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q311
95-th percentile13.45
Maximum15
Range14
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.644695207
Coefficient of variation (CV)0.4831584425
Kurtosis-0.9555218128
Mean7.543478261
Median Absolute Deviation (MAD)3
Skewness-0.03148022354
Sum694
Variance13.28380315
MonotonicityNot monotonic
2025-03-05T10:33:45.194558image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
6 17
15.7%
11 17
15.7%
8 10
9.3%
10 8
7.4%
2 6
 
5.6%
3 6
 
5.6%
5 6
 
5.6%
14 4
 
3.7%
1 4
 
3.7%
4 4
 
3.7%
Other values (5) 10
9.3%
(Missing) 16
14.8%
ValueCountFrequency (%)
1 4
3.7%
2 6
5.6%
3 6
5.6%
4 4
3.7%
5 6
5.6%
ValueCountFrequency (%)
15 1
 
0.9%
14 4
 
3.7%
13 2
 
1.9%
12 3
 
2.8%
11 17
15.7%

A05
Unsupported

Missing  Rejected  Unsupported 

Type of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)

Missing108
Missing (%)100.0%
Memory size1.1 KiB

A05UNITN
Real number (ℝ)

Missing 

Type of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)

Distinct3
Distinct (%)3.2%
Missing15
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean1.408602151
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:45.451751image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6296403242
Coefficient of variation (CV)0.446996566
Kurtosis0.5581535104
Mean1.408602151
Median Absolute Deviation (MAD)0
Skewness1.28817591
Sum131
Variance0.3964469378
MonotonicityNot monotonic
2025-03-05T10:33:45.704182image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 62
57.4%
2 24
 
22.2%
3 7
 
6.5%
(Missing) 15
 
13.9%
ValueCountFrequency (%)
1 62
57.4%
2 24
 
22.2%
3 7
 
6.5%
ValueCountFrequency (%)
3 7
 
6.5%
2 24
 
22.2%
1 62
57.4%

A07
Real number (ℝ)

Missing 

Course year Answer: |__|

Distinct5
Distinct (%)5.4%
Missing16
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean2.52173913
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:45.956160image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7334737592
Coefficient of variation (CV)0.2908602838
Kurtosis0.6710229771
Mean2.52173913
Median Absolute Deviation (MAD)1
Skewness0.5211338591
Sum232
Variance0.5379837554
MonotonicityNot monotonic
2025-03-05T10:33:46.202578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 44
40.7%
3 37
34.3%
4 6
 
5.6%
1 4
 
3.7%
5 1
 
0.9%
(Missing) 16
 
14.8%
ValueCountFrequency (%)
1 4
 
3.7%
2 44
40.7%
3 37
34.3%
4 6
 
5.6%
5 1
 
0.9%
ValueCountFrequency (%)
5 1
 
0.9%
4 6
 
5.6%
3 37
34.3%
2 44
40.7%
1 4
 
3.7%

A11NUM
Unsupported

Missing  Rejected  Unsupported 

What kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends

Missing108
Missing (%)100.0%
Memory size1.1 KiB

A11
Real number (ℝ)

Missing 

What kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends

Distinct5
Distinct (%)5.4%
Missing16
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean4.902173913
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:46.448740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.167883242
Coefficient of variation (CV)0.2382378231
Kurtosis5.967947559
Mean4.902173913
Median Absolute Deviation (MAD)0
Skewness-2.386977089
Sum451
Variance1.363951266
MonotonicityNot monotonic
2025-03-05T10:33:46.684903image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 60
55.6%
6 21
 
19.4%
1 6
 
5.6%
4 4
 
3.7%
3 1
 
0.9%
(Missing) 16
 
14.8%
ValueCountFrequency (%)
1 6
 
5.6%
3 1
 
0.9%
4 4
 
3.7%
5 60
55.6%
6 21
 
19.4%
ValueCountFrequency (%)
6 21
 
19.4%
5 60
55.6%
4 4
 
3.7%
3 1
 
0.9%
1 6
 
5.6%

R03
Real number (ℝ)

Missing  Zeros 

nan

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean1.078651685
Minimum0
Maximum5
Zeros35
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:46.908365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.160179444
Coefficient of variation (CV)1.075583027
Kurtosis1.289518608
Mean1.078651685
Median Absolute Deviation (MAD)1
Skewness1.139007513
Sum96
Variance1.346016343
MonotonicityNot monotonic
2025-03-05T10:33:47.147754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 35
32.4%
1 27
25.0%
2 16
14.8%
3 9
 
8.3%
5 2
 
1.9%
(Missing) 19
17.6%
ValueCountFrequency (%)
0 35
32.4%
1 27
25.0%
2 16
14.8%
3 9
 
8.3%
5 2
 
1.9%
ValueCountFrequency (%)
5 2
 
1.9%
3 9
 
8.3%
2 16
14.8%
1 27
25.0%
0 35
32.4%

B01_1
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 1.Am the life of the party,

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.741573034
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:47.374759image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.039318941
Coefficient of variation (CV)0.3790958432
Kurtosis-0.7248948082
Mean2.741573034
Median Absolute Deviation (MAD)1
Skewness-0.1425722488
Sum244
Variance1.080183861
MonotonicityNot monotonic
2025-03-05T10:33:47.633048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 33
30.6%
2 21
19.4%
4 20
18.5%
1 13
 
12.0%
5 2
 
1.9%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 13
 
12.0%
2 21
19.4%
3 33
30.6%
4 20
18.5%
5 2
 
1.9%
ValueCountFrequency (%)
5 2
 
1.9%
4 20
18.5%
3 33
30.6%
2 21
19.4%
1 13
 
12.0%

B01_2
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 2.Sympathize with others’ feelings

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean4.112359551
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:47.883331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9935954253
Coefficient of variation (CV)0.2416120023
Kurtosis1.370821775
Mean4.112359551
Median Absolute Deviation (MAD)1
Skewness-1.296635921
Sum366
Variance0.9872318693
MonotonicityNot monotonic
2025-03-05T10:33:48.145557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 38
35.2%
5 36
33.3%
2 7
 
6.5%
3 6
 
5.6%
1 2
 
1.9%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 2
 
1.9%
2 7
 
6.5%
3 6
 
5.6%
4 38
35.2%
5 36
33.3%
ValueCountFrequency (%)
5 36
33.3%
4 38
35.2%
3 6
 
5.6%
2 7
 
6.5%
1 2
 
1.9%

B01_3
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 3.Get chores done right away

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean3.438202247
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:48.398515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.076136357
Coefficient of variation (CV)0.3129939077
Kurtosis-0.8675341287
Mean3.438202247
Median Absolute Deviation (MAD)1
Skewness-0.172199052
Sum306
Variance1.158069459
MonotonicityNot monotonic
2025-03-05T10:33:48.655309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 29
26.9%
3 24
22.2%
2 18
16.7%
5 16
14.8%
1 2
 
1.9%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 2
 
1.9%
2 18
16.7%
3 24
22.2%
4 29
26.9%
5 16
14.8%
ValueCountFrequency (%)
5 16
14.8%
4 29
26.9%
3 24
22.2%
2 18
16.7%
1 2
 
1.9%

B01_4
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 4.Have frequent mood swings

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.842696629
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:48.908396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.347547237
Coefficient of variation (CV)0.4740383559
Kurtosis-1.093206556
Mean2.842696629
Median Absolute Deviation (MAD)1
Skewness0.2648819369
Sum253
Variance1.815883555
MonotonicityNot monotonic
2025-03-05T10:33:49.160692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 25
23.1%
3 20
18.5%
1 16
14.8%
5 15
13.9%
4 13
12.0%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 16
14.8%
2 25
23.1%
3 20
18.5%
4 13
12.0%
5 15
13.9%
ValueCountFrequency (%)
5 15
13.9%
4 13
12.0%
3 20
18.5%
2 25
23.1%
1 16
14.8%

B01_5
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 5.Have a vivid imagination

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean3.629213483
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:49.409419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.101466197
Coefficient of variation (CV)0.3034999738
Kurtosis0.1770526878
Mean3.629213483
Median Absolute Deviation (MAD)1
Skewness-0.7281417555
Sum323
Variance1.213227783
MonotonicityNot monotonic
2025-03-05T10:33:49.661285image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 33
30.6%
3 25
23.1%
5 20
18.5%
1 6
 
5.6%
2 5
 
4.6%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 6
 
5.6%
2 5
 
4.6%
3 25
23.1%
4 33
30.6%
5 20
18.5%
ValueCountFrequency (%)
5 20
18.5%
4 33
30.6%
3 25
23.1%
2 5
 
4.6%
1 6
 
5.6%

B01_6
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 6.Don’t talk a lot

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.674157303
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:49.910999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4.6
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.115747618
Coefficient of variation (CV)0.4172333531
Kurtosis-0.6916679155
Mean2.674157303
Median Absolute Deviation (MAD)1
Skewness0.277591782
Sum238
Variance1.244892748
MonotonicityNot monotonic
2025-03-05T10:33:50.164464image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 30
27.8%
3 24
22.2%
4 17
15.7%
1 13
12.0%
5 5
 
4.6%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 13
12.0%
2 30
27.8%
3 24
22.2%
4 17
15.7%
5 5
 
4.6%
ValueCountFrequency (%)
5 5
 
4.6%
4 17
15.7%
3 24
22.2%
2 30
27.8%
1 13
12.0%

B01_7
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 7.Am not interested in other people’s problems

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.04494382
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:50.417600image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.043487513
Coefficient of variation (CV)0.5102768608
Kurtosis0.2821165339
Mean2.04494382
Median Absolute Deviation (MAD)1
Skewness0.9522411443
Sum182
Variance1.08886619
MonotonicityNot monotonic
2025-03-05T10:33:50.674853image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 36
33.3%
1 31
28.7%
3 11
 
10.2%
4 9
 
8.3%
5 2
 
1.9%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 31
28.7%
2 36
33.3%
3 11
 
10.2%
4 9
 
8.3%
5 2
 
1.9%
ValueCountFrequency (%)
5 2
 
1.9%
4 9
 
8.3%
3 11
 
10.2%
2 36
33.3%
1 31
28.7%

B01_8
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 8.Often forget to put things back in their proper place

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.617977528
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:50.926970image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.327211859
Coefficient of variation (CV)0.5069607529
Kurtosis-1.115480508
Mean2.617977528
Median Absolute Deviation (MAD)1
Skewness0.3809631573
Sum233
Variance1.761491318
MonotonicityNot monotonic
2025-03-05T10:33:51.185645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 29
26.9%
1 21
19.4%
4 19
17.6%
3 11
 
10.2%
5 9
 
8.3%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 21
19.4%
2 29
26.9%
3 11
 
10.2%
4 19
17.6%
5 9
 
8.3%
ValueCountFrequency (%)
5 9
 
8.3%
4 19
17.6%
3 11
 
10.2%
2 29
26.9%
1 21
19.4%

B01_9
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 9.Am relaxed most of the time

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.91011236
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:51.435310image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.995905817
Coefficient of variation (CV)0.3422224622
Kurtosis-0.7442158848
Mean2.91011236
Median Absolute Deviation (MAD)1
Skewness-0.02823271052
Sum259
Variance0.9918283963
MonotonicityNot monotonic
2025-03-05T10:33:51.685556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 28
25.9%
2 27
25.0%
4 25
23.1%
1 6
 
5.6%
5 3
 
2.8%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 6
 
5.6%
2 27
25.0%
3 28
25.9%
4 25
23.1%
5 3
 
2.8%
ValueCountFrequency (%)
5 3
 
2.8%
4 25
23.1%
3 28
25.9%
2 27
25.0%
1 6
 
5.6%

B01_10
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 10.Am not interested in abstract ideas

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.179775281
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:51.931377image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.050560432
Coefficient of variation (CV)0.4819581364
Kurtosis-0.4857968039
Mean2.179775281
Median Absolute Deviation (MAD)1
Skewness0.6527048139
Sum194
Variance1.103677222
MonotonicityNot monotonic
2025-03-05T10:33:52.191130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 36
33.3%
1 26
24.1%
3 13
 
12.0%
4 13
 
12.0%
5 1
 
0.9%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 26
24.1%
2 36
33.3%
3 13
 
12.0%
4 13
 
12.0%
5 1
 
0.9%
ValueCountFrequency (%)
5 1
 
0.9%
4 13
 
12.0%
3 13
 
12.0%
2 36
33.3%
1 26
24.1%

B01_11
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 11.Talk to a lot of different people at parties

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean3.157303371
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:52.442389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.106785645
Coefficient of variation (CV)0.3505477665
Kurtosis-0.7139411941
Mean3.157303371
Median Absolute Deviation (MAD)1
Skewness0.04100844896
Sum281
Variance1.224974464
MonotonicityNot monotonic
2025-03-05T10:33:52.694507image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 30
27.8%
2 21
19.4%
4 21
19.4%
5 12
 
11.1%
1 5
 
4.6%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 5
 
4.6%
2 21
19.4%
3 30
27.8%
4 21
19.4%
5 12
 
11.1%
ValueCountFrequency (%)
5 12
 
11.1%
4 21
19.4%
3 30
27.8%
2 21
19.4%
1 5
 
4.6%

B01_12
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 12.Feel others’ emotions,

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean3.752808989
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:52.945597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8431663655
Coefficient of variation (CV)0.2246760675
Kurtosis0.4762811097
Mean3.752808989
Median Absolute Deviation (MAD)1
Skewness-0.5480809992
Sum334
Variance0.7109295199
MonotonicityNot monotonic
2025-03-05T10:33:53.190187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 44
40.7%
3 24
22.2%
5 15
 
13.9%
2 5
 
4.6%
1 1
 
0.9%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 1
 
0.9%
2 5
 
4.6%
3 24
22.2%
4 44
40.7%
5 15
 
13.9%
ValueCountFrequency (%)
5 15
 
13.9%
4 44
40.7%
3 24
22.2%
2 5
 
4.6%
1 1
 
0.9%

B01_13
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 13.Like order

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean3.93258427
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:53.441085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9862434792
Coefficient of variation (CV)0.2507876276
Kurtosis0.6297701176
Mean3.93258427
Median Absolute Deviation (MAD)1
Skewness-0.9532277074
Sum350
Variance0.9726762002
MonotonicityNot monotonic
2025-03-05T10:33:53.688442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 40
37.0%
5 27
25.0%
3 13
 
12.0%
2 7
 
6.5%
1 2
 
1.9%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 2
 
1.9%
2 7
 
6.5%
3 13
 
12.0%
4 40
37.0%
5 27
25.0%
ValueCountFrequency (%)
5 27
25.0%
4 40
37.0%
3 13
 
12.0%
2 7
 
6.5%
1 2
 
1.9%

B01_14
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 14.Get upset easily

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.640449438
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:53.931141image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.208372224
Coefficient of variation (CV)0.4576388423
Kurtosis-0.9221942291
Mean2.640449438
Median Absolute Deviation (MAD)1
Skewness0.2552218432
Sum235
Variance1.460163432
MonotonicityNot monotonic
2025-03-05T10:33:54.181297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 26
24.1%
3 21
19.4%
1 18
16.7%
4 18
16.7%
5 6
 
5.6%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 18
16.7%
2 26
24.1%
3 21
19.4%
4 18
16.7%
5 6
 
5.6%
ValueCountFrequency (%)
5 6
 
5.6%
4 18
16.7%
3 21
19.4%
2 26
24.1%
1 18
16.7%

B01_15
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 15.Have difficulty understanding abstract ideas

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.247191011
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:54.432286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.06899378
Coefficient of variation (CV)0.4757022321
Kurtosis-0.4463192785
Mean2.247191011
Median Absolute Deviation (MAD)1
Skewness0.5717491652
Sum200
Variance1.142747702
MonotonicityNot monotonic
2025-03-05T10:33:54.687135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 32
29.6%
1 25
23.1%
3 19
17.6%
4 11
 
10.2%
5 2
 
1.9%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 25
23.1%
2 32
29.6%
3 19
17.6%
4 11
 
10.2%
5 2
 
1.9%
ValueCountFrequency (%)
5 2
 
1.9%
4 11
 
10.2%
3 19
17.6%
2 32
29.6%
1 25
23.1%

B01_16
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 16.Keep in the background

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.606741573
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:54.940910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4.6
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.093555269
Coefficient of variation (CV)0.4195104263
Kurtosis-0.4373223162
Mean2.606741573
Median Absolute Deviation (MAD)1
Skewness0.3072806139
Sum232
Variance1.195863126
MonotonicityNot monotonic
2025-03-05T10:33:55.196367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 30
27.8%
2 27
25.0%
1 15
13.9%
4 12
 
11.1%
5 5
 
4.6%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 15
13.9%
2 27
25.0%
3 30
27.8%
4 12
 
11.1%
5 5
 
4.6%
ValueCountFrequency (%)
5 5
 
4.6%
4 12
 
11.1%
3 30
27.8%
2 27
25.0%
1 15
13.9%

B01_17
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 17.Am not really interested in others

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.011235955
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:55.445520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.092270176
Coefficient of variation (CV)0.5430840539
Kurtosis0.8188758369
Mean2.011235955
Median Absolute Deviation (MAD)1
Skewness1.154879219
Sum179
Variance1.193054137
MonotonicityNot monotonic
2025-03-05T10:33:55.705146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 34
31.5%
2 34
31.5%
3 11
 
10.2%
4 6
 
5.6%
5 4
 
3.7%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 34
31.5%
2 34
31.5%
3 11
 
10.2%
4 6
 
5.6%
5 4
 
3.7%
ValueCountFrequency (%)
5 4
 
3.7%
4 6
 
5.6%
3 11
 
10.2%
2 34
31.5%
1 34
31.5%

B01_18
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 18.Make a mess of things

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.730337079
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:55.961786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.135822139
Coefficient of variation (CV)0.416000701
Kurtosis-0.9389508014
Mean2.730337079
Median Absolute Deviation (MAD)1
Skewness0.07606649797
Sum243
Variance1.290091931
MonotonicityNot monotonic
2025-03-05T10:33:56.209956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 26
24.1%
3 23
21.3%
4 22
20.4%
1 14
13.0%
5 4
 
3.7%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 14
13.0%
2 26
24.1%
3 23
21.3%
4 22
20.4%
5 4
 
3.7%
ValueCountFrequency (%)
5 4
 
3.7%
4 22
20.4%
3 23
21.3%
2 26
24.1%
1 14
13.0%

B01_19
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 19.Seldom feel blue

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.573033708
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:56.457760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.043242764
Coefficient of variation (CV)0.405452428
Kurtosis-0.5527477986
Mean2.573033708
Median Absolute Deviation (MAD)1
Skewness0.3850236782
Sum229
Variance1.088355465
MonotonicityNot monotonic
2025-03-05T10:33:56.712590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 36
33.3%
3 22
20.4%
4 16
14.8%
1 12
 
11.1%
5 3
 
2.8%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 12
 
11.1%
2 36
33.3%
3 22
20.4%
4 16
14.8%
5 3
 
2.8%
ValueCountFrequency (%)
5 3
 
2.8%
4 16
14.8%
3 22
20.4%
2 36
33.3%
1 12
 
11.1%

B01_20
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 20.Do not have a good imagination

Distinct5
Distinct (%)5.6%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.123595506
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:56.966158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.031550298
Coefficient of variation (CV)0.4857564893
Kurtosis0.4707328775
Mean2.123595506
Median Absolute Deviation (MAD)1
Skewness0.8907820504
Sum189
Variance1.064096016
MonotonicityNot monotonic
2025-03-05T10:33:57.222783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 36
33.3%
1 27
25.0%
3 17
15.7%
4 6
 
5.6%
5 3
 
2.8%
(Missing) 19
17.6%
ValueCountFrequency (%)
1 27
25.0%
2 36
33.3%
3 17
15.7%
4 6
 
5.6%
5 3
 
2.8%
ValueCountFrequency (%)
5 3
 
2.8%
4 6
 
5.6%
3 17
15.7%
2 36
33.3%
1 27
25.0%

G02_1
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Theatre plays

Distinct5
Distinct (%)5.8%
Missing22
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean1.534883721
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:57.481729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8072855668
Coefficient of variation (CV)0.5259587784
Kurtosis4.21959018
Mean1.534883721
Median Absolute Deviation (MAD)0
Skewness1.876131136
Sum132
Variance0.6517099863
MonotonicityNot monotonic
2025-03-05T10:33:57.730162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 52
48.1%
2 26
24.1%
3 5
 
4.6%
4 2
 
1.9%
5 1
 
0.9%
(Missing) 22
20.4%
ValueCountFrequency (%)
1 52
48.1%
2 26
24.1%
3 5
 
4.6%
4 2
 
1.9%
5 1
 
0.9%
ValueCountFrequency (%)
5 1
 
0.9%
4 2
 
1.9%
3 5
 
4.6%
2 26
24.1%
1 52
48.1%

G02_2
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Cabarets, or a stand-up comedy.

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.75862069
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:57.975900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.346533165
Coefficient of variation (CV)0.7656757211
Kurtosis2.446309012
Mean1.75862069
Median Absolute Deviation (MAD)0
Skewness1.828702539
Sum153
Variance1.813151564
MonotonicityNot monotonic
2025-03-05T10:33:58.213901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 59
54.6%
2 10
 
9.3%
3 7
 
6.5%
4 5
 
4.6%
5 3
 
2.8%
6 3
 
2.8%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 59
54.6%
2 10
 
9.3%
3 7
 
6.5%
4 5
 
4.6%
5 3
 
2.8%
ValueCountFrequency (%)
6 3
 
2.8%
5 3
 
2.8%
4 5
4.6%
3 7
6.5%
2 10
9.3%

G02_3
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Ballets or a modern dance

Distinct5
Distinct (%)5.7%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.379310345
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:58.442168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.7
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9673913533
Coefficient of variation (CV)0.7013587312
Kurtosis12.03027652
Mean1.379310345
Median Absolute Deviation (MAD)0
Skewness3.347881514
Sum120
Variance0.9358460305
MonotonicityNot monotonic
2025-03-05T10:33:58.689845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 69
63.9%
2 12
 
11.1%
4 3
 
2.8%
6 2
 
1.9%
3 1
 
0.9%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 69
63.9%
2 12
 
11.1%
3 1
 
0.9%
4 3
 
2.8%
6 2
 
1.9%
ValueCountFrequency (%)
6 2
 
1.9%
4 3
 
2.8%
3 1
 
0.9%
2 12
 
11.1%
1 69
63.9%

G02_4
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Classical music

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.816091954
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:58.917480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5.7
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.450971893
Coefficient of variation (CV)0.7989528776
Kurtosis2.578654135
Mean1.816091954
Median Absolute Deviation (MAD)0
Skewness1.918552685
Sum158
Variance2.105319433
MonotonicityNot monotonic
2025-03-05T10:33:59.152356image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 56
51.9%
2 16
 
14.8%
6 5
 
4.6%
5 4
 
3.7%
3 4
 
3.7%
4 2
 
1.9%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 56
51.9%
2 16
 
14.8%
3 4
 
3.7%
4 2
 
1.9%
5 4
 
3.7%
ValueCountFrequency (%)
6 5
 
4.6%
5 4
 
3.7%
4 2
 
1.9%
3 4
 
3.7%
2 16
14.8%

G02_5
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Opera

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.402298851
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:59.373627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9579504541
Coefficient of variation (CV)0.6831286025
Kurtosis9.576637857
Mean1.402298851
Median Absolute Deviation (MAD)0
Skewness3.006749799
Sum122
Variance0.9176690724
MonotonicityNot monotonic
2025-03-05T10:33:59.623827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 68
63.0%
2 11
 
10.2%
3 4
 
3.7%
5 2
 
1.9%
6 1
 
0.9%
4 1
 
0.9%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 68
63.0%
2 11
 
10.2%
3 4
 
3.7%
4 1
 
0.9%
5 2
 
1.9%
ValueCountFrequency (%)
6 1
 
0.9%
5 2
 
1.9%
4 1
 
0.9%
3 4
 
3.7%
2 11
10.2%

G02_6
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Musical

Distinct5
Distinct (%)5.7%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.551724138
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:33:59.850117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.227197798
Coefficient of variation (CV)0.790860803
Kurtosis6.250927937
Mean1.551724138
Median Absolute Deviation (MAD)0
Skewness2.582374874
Sum135
Variance1.506014435
MonotonicityNot monotonic
2025-03-05T10:34:00.084955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 66
61.1%
2 9
 
8.3%
3 5
 
4.6%
6 4
 
3.7%
4 3
 
2.8%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 66
61.1%
2 9
 
8.3%
3 5
 
4.6%
4 3
 
2.8%
6 4
 
3.7%
ValueCountFrequency (%)
6 4
 
3.7%
4 3
 
2.8%
3 5
 
4.6%
2 9
 
8.3%
1 66
61.1%

G02_7
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Pop or rock

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2.954022989
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:00.310214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.904145087
Coefficient of variation (CV)0.644593862
Kurtosis-1.347232114
Mean2.954022989
Median Absolute Deviation (MAD)1
Skewness0.4499575167
Sum257
Variance3.625768511
MonotonicityNot monotonic
2025-03-05T10:34:00.546162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 30
27.8%
2 15
13.9%
6 14
13.0%
5 11
 
10.2%
3 10
 
9.3%
4 7
 
6.5%
(Missing) 21
19.4%
ValueCountFrequency (%)
1 30
27.8%
2 15
13.9%
3 10
 
9.3%
4 7
 
6.5%
5 11
 
10.2%
ValueCountFrequency (%)
6 14
13.0%
5 11
10.2%
4 7
6.5%
3 10
9.3%
2 15
13.9%

G02_8
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Jazz or blue

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.83908046
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:00.778548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.319562676
Coefficient of variation (CV)0.7175122051
Kurtosis1.763455593
Mean1.83908046
Median Absolute Deviation (MAD)0
Skewness1.640201197
Sum160
Variance1.741245656
MonotonicityNot monotonic
2025-03-05T10:34:01.014960image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 52
48.1%
2 18
 
16.7%
4 7
 
6.5%
3 4
 
3.7%
5 4
 
3.7%
6 2
 
1.9%
(Missing) 21
19.4%
ValueCountFrequency (%)
1 52
48.1%
2 18
 
16.7%
3 4
 
3.7%
4 7
 
6.5%
5 4
 
3.7%
ValueCountFrequency (%)
6 2
 
1.9%
5 4
 
3.7%
4 7
 
6.5%
3 4
 
3.7%
2 18
16.7%

G02_9
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Folk music concert

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.793103448
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:01.240465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5.7
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.487450848
Coefficient of variation (CV)0.8295398958
Kurtosis2.228657634
Mean1.793103448
Median Absolute Deviation (MAD)0
Skewness1.86197536
Sum156
Variance2.212510024
MonotonicityNot monotonic
2025-03-05T10:34:01.487585image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 61
56.5%
2 9
 
8.3%
3 5
 
4.6%
6 5
 
4.6%
5 4
 
3.7%
4 3
 
2.8%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 61
56.5%
2 9
 
8.3%
3 5
 
4.6%
4 3
 
2.8%
5 4
 
3.7%
ValueCountFrequency (%)
6 5
4.6%
5 4
3.7%
4 3
 
2.8%
3 5
4.6%
2 9
8.3%

G02_10
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: World music

Distinct6
Distinct (%)7.1%
Missing23
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean1.917647059
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:01.723283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.465571274
Coefficient of variation (CV)0.7642549589
Kurtosis1.087715384
Mean1.917647059
Median Absolute Deviation (MAD)0
Skewness1.516731028
Sum163
Variance2.14789916
MonotonicityNot monotonic
2025-03-05T10:34:01.965339image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 53
49.1%
2 12
 
11.1%
5 6
 
5.6%
3 6
 
5.6%
4 5
 
4.6%
6 3
 
2.8%
(Missing) 23
21.3%
ValueCountFrequency (%)
1 53
49.1%
2 12
 
11.1%
3 6
 
5.6%
4 5
 
4.6%
5 6
 
5.6%
ValueCountFrequency (%)
6 3
 
2.8%
5 6
5.6%
4 5
4.6%
3 6
5.6%
2 12
11.1%

G02_11
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Urban (rap, hip-hop, trap)

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2.149425287
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:02.191178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.694922209
Coefficient of variation (CV)0.7885466961
Kurtosis0.6162537717
Mean2.149425287
Median Absolute Deviation (MAD)0
Skewness1.402923751
Sum187
Variance2.872761294
MonotonicityNot monotonic
2025-03-05T10:34:02.431461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 48
44.4%
2 16
 
14.8%
6 10
 
9.3%
3 7
 
6.5%
4 4
 
3.7%
5 2
 
1.9%
(Missing) 21
19.4%
ValueCountFrequency (%)
1 48
44.4%
2 16
 
14.8%
3 7
 
6.5%
4 4
 
3.7%
5 2
 
1.9%
ValueCountFrequency (%)
6 10
9.3%
5 2
 
1.9%
4 4
 
3.7%
3 7
6.5%
2 16
14.8%

G02_12
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Dance or house

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2.091954023
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:02.661216image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.58211063
Coefficient of variation (CV)0.7562836526
Kurtosis0.9353325479
Mean2.091954023
Median Absolute Deviation (MAD)0
Skewness1.45021644
Sum182
Variance2.503074044
MonotonicityNot monotonic
2025-03-05T10:34:02.899473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 47
43.5%
2 17
 
15.7%
3 9
 
8.3%
6 7
 
6.5%
5 4
 
3.7%
4 3
 
2.8%
(Missing) 21
19.4%
ValueCountFrequency (%)
1 47
43.5%
2 17
 
15.7%
3 9
 
8.3%
4 3
 
2.8%
5 4
 
3.7%
ValueCountFrequency (%)
6 7
6.5%
5 4
 
3.7%
4 3
 
2.8%
3 9
8.3%
2 17
15.7%

G02_13
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Popular national or local music

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2.091954023
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:03.129397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.537380617
Coefficient of variation (CV)0.7349017234
Kurtosis0.9340891708
Mean2.091954023
Median Absolute Deviation (MAD)0
Skewness1.414490633
Sum182
Variance2.363539161
MonotonicityNot monotonic
2025-03-05T10:34:03.364825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 46
42.6%
2 17
 
15.7%
3 10
 
9.3%
6 6
 
5.6%
4 4
 
3.7%
5 4
 
3.7%
(Missing) 21
19.4%
ValueCountFrequency (%)
1 46
42.6%
2 17
 
15.7%
3 10
 
9.3%
4 4
 
3.7%
5 4
 
3.7%
ValueCountFrequency (%)
6 6
 
5.6%
5 4
 
3.7%
4 4
 
3.7%
3 10
9.3%
2 17
15.7%

G02_14
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A singer/songwriter

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2.804597701
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:03.586777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.847934614
Coefficient of variation (CV)0.6588947188
Kurtosis-1.021745809
Mean2.804597701
Median Absolute Deviation (MAD)1
Skewness0.6785933208
Sum244
Variance3.414862336
MonotonicityNot monotonic
2025-03-05T10:34:03.827613image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 29
26.9%
2 21
19.4%
6 14
13.0%
3 10
 
9.3%
5 7
 
6.5%
4 6
 
5.6%
(Missing) 21
19.4%
ValueCountFrequency (%)
1 29
26.9%
2 21
19.4%
3 10
 
9.3%
4 6
 
5.6%
5 7
 
6.5%
ValueCountFrequency (%)
6 14
13.0%
5 7
 
6.5%
4 6
 
5.6%
3 10
9.3%
2 21
19.4%

G02_15
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Other music

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2.218390805
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:04.055706image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.631273489
Coefficient of variation (CV)0.735340899
Kurtosis0.005936867163
Mean2.218390805
Median Absolute Deviation (MAD)0
Skewness1.15194932
Sum193
Variance2.661053194
MonotonicityNot monotonic
2025-03-05T10:34:04.296435image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 45
41.7%
2 16
 
14.8%
4 8
 
7.4%
5 6
 
5.6%
3 6
 
5.6%
6 6
 
5.6%
(Missing) 21
19.4%
ValueCountFrequency (%)
1 45
41.7%
2 16
 
14.8%
3 6
 
5.6%
4 8
 
7.4%
5 6
 
5.6%
ValueCountFrequency (%)
6 6
 
5.6%
5 6
 
5.6%
4 8
7.4%
3 6
 
5.6%
2 16
14.8%

G02_16
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A sport event

Distinct6
Distinct (%)6.9%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2.643678161
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:04.523615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.778273343
Coefficient of variation (CV)0.6726512209
Kurtosis-0.6145822107
Mean2.643678161
Median Absolute Deviation (MAD)1
Skewness0.8627577365
Sum230
Variance3.162256081
MonotonicityNot monotonic
2025-03-05T10:34:04.773513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 31
28.7%
2 22
20.4%
6 13
12.0%
3 10
 
9.3%
4 8
 
7.4%
5 3
 
2.8%
(Missing) 21
19.4%
ValueCountFrequency (%)
1 31
28.7%
2 22
20.4%
3 10
 
9.3%
4 8
 
7.4%
5 3
 
2.8%
ValueCountFrequency (%)
6 13
12.0%
5 3
 
2.8%
4 8
 
7.4%
3 10
9.3%
2 22
20.4%

G01_1
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Acted in a theatre play

Distinct2
Distinct (%)2.3%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.942528736
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:05.010963image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2340901158
Coefficient of variation (CV)0.1205079294
Kurtosis13.28020496
Mean1.942528736
Median Absolute Deviation (MAD)0
Skewness-3.869801807
Sum169
Variance0.0547981823
MonotonicityNot monotonic
2025-03-05T10:34:05.241867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 82
75.9%
1 5
 
4.6%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 5
 
4.6%
2 82
75.9%
ValueCountFrequency (%)
2 82
75.9%
1 5
 
4.6%

G01_2
Real number (ℝ)

Constant  Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Directed a theatre play

Distinct1
Distinct (%)1.2%
Missing22
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:05.461278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum172
Variance0
MonotonicityIncreasing
2025-03-05T10:34:05.676164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 86
79.6%
(Missing) 22
 
20.4%
ValueCountFrequency (%)
2 86
79.6%
ValueCountFrequency (%)
2 86
79.6%

G01_3
Real number (ℝ)

Constant  Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Performed as a stand-up comedian

Distinct1
Distinct (%)1.1%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:05.901172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum174
Variance0
MonotonicityIncreasing
2025-03-05T10:34:06.117453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 87
80.6%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
2 87
80.6%
ValueCountFrequency (%)
2 87
80.6%

G01_4
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped

Distinct2
Distinct (%)2.3%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.908045977
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:06.334160image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.290636187
Coefficient of variation (CV)0.1523213751
Kurtosis6.406775875
Mean1.908045977
Median Absolute Deviation (MAD)0
Skewness-2.874019668
Sum166
Variance0.08446939321
MonotonicityNot monotonic
2025-03-05T10:34:06.564700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 79
73.1%
1 8
 
7.4%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 8
 
7.4%
2 79
73.1%
ValueCountFrequency (%)
2 79
73.1%
1 8
 
7.4%

G01_5
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument

Distinct2
Distinct (%)2.3%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.712643678
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:06.794588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4551525678
Coefficient of variation (CV)0.2657602241
Kurtosis-1.111449173
Mean1.712643678
Median Absolute Deviation (MAD)0
Skewness-0.9563696846
Sum149
Variance0.2071638599
MonotonicityNot monotonic
2025-03-05T10:34:07.032648image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 62
57.4%
1 25
23.1%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 25
23.1%
2 62
57.4%
ValueCountFrequency (%)
2 62
57.4%
1 25
23.1%

G01_6
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument in an orchestra or pop/rock/jazz/folk band

Distinct2
Distinct (%)2.3%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.908045977
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:07.265846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.290636187
Coefficient of variation (CV)0.1523213751
Kurtosis6.406775875
Mean1.908045977
Median Absolute Deviation (MAD)0
Skewness-2.874019668
Sum166
Variance0.08446939321
MonotonicityNot monotonic
2025-03-05T10:34:07.504450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 79
73.1%
1 8
 
7.4%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 8
 
7.4%
2 79
73.1%
ValueCountFrequency (%)
2 79
73.1%
1 8
 
7.4%

G01_7
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Composed music or performed as DJ

Distinct2
Distinct (%)2.3%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.931034483
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:07.731849image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2548644623
Coefficient of variation (CV)0.1319833823
Kurtosis10.22025106
Mean1.931034483
Median Absolute Deviation (MAD)0
Skewness-3.462047761
Sum168
Variance0.06495589415
MonotonicityNot monotonic
2025-03-05T10:34:07.963417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 81
75.0%
1 6
 
5.6%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 6
 
5.6%
2 81
75.0%
ValueCountFrequency (%)
2 81
75.0%
1 6
 
5.6%

G01_8
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance),

Distinct2
Distinct (%)2.3%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.83908046
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:08.195611image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3695869227
Coefficient of variation (CV)0.2009628892
Kurtosis1.562620665
Mean1.83908046
Median Absolute Deviation (MAD)0
Skewness-1.878090388
Sum160
Variance0.1365944935
MonotonicityNot monotonic
2025-03-05T10:34:08.437937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 73
67.6%
1 14
 
13.0%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 14
 
13.0%
2 73
67.6%
ValueCountFrequency (%)
2 73
67.6%
1 14
 
13.0%

G01_9
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Did choreography for a dance performance

Distinct2
Distinct (%)2.3%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.988505747
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:08.674595image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1072112535
Coefficient of variation (CV)0.05391548586
Kurtosis87
Mean1.988505747
Median Absolute Deviation (MAD)0
Skewness-9.327379053
Sum173
Variance0.01149425287
MonotonicityNot monotonic
2025-03-05T10:34:08.914256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 86
79.6%
1 1
 
0.9%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
1 1
 
0.9%
2 86
79.6%
ValueCountFrequency (%)
2 86
79.6%
1 1
 
0.9%

T01_1
Real number (ℝ)

Missing 

Do you have a car driver’s license? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.185185185
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:09.139267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.39086798
Coefficient of variation (CV)0.3297948581
Kurtosis0.7456846951
Mean1.185185185
Median Absolute Deviation (MAD)0
Skewness1.651630866
Sum96
Variance0.1527777778
MonotonicityNot monotonic
2025-03-05T10:34:09.377910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 66
61.1%
2 15
 
13.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 66
61.1%
2 15
 
13.9%
ValueCountFrequency (%)
2 15
 
13.9%
1 66
61.1%

T01_2
Real number (ℝ)

Missing 

Do you have a motorbike driver’s license? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.814814815
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:09.608796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.39086798
Coefficient of variation (CV)0.2153762339
Kurtosis0.7456846951
Mean1.814814815
Median Absolute Deviation (MAD)0
Skewness-1.651630866
Sum147
Variance0.1527777778
MonotonicityNot monotonic
2025-03-05T10:34:09.854037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 66
61.1%
1 15
 
13.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 15
 
13.9%
2 66
61.1%
ValueCountFrequency (%)
2 66
61.1%
1 15
 
13.9%

T01_3
Real number (ℝ)

Missing 

Do you have a bike of your own? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)2.5%
Missing28
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean1.15
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:10.089754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3593242603
Coefficient of variation (CV)0.3124558785
Kurtosis2.042663219
Mean1.15
Median Absolute Deviation (MAD)0
Skewness1.998052448
Sum92
Variance0.1291139241
MonotonicityNot monotonic
2025-03-05T10:34:10.334669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 68
63.0%
2 12
 
11.1%
(Missing) 28
25.9%
ValueCountFrequency (%)
1 68
63.0%
2 12
 
11.1%
ValueCountFrequency (%)
2 12
 
11.1%
1 68
63.0%

T01_4
Real number (ℝ)

Missing 

Do you have a car of your own? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.679012346
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:10.569213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4697648479
Coefficient of variation (CV)0.2797864168
Kurtosis-1.425184358
Mean1.679012346
Median Absolute Deviation (MAD)0
Skewness-0.7814305588
Sum136
Variance0.2206790123
MonotonicityNot monotonic
2025-03-05T10:34:10.802106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 55
50.9%
1 26
24.1%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 26
24.1%
2 55
50.9%
ValueCountFrequency (%)
2 55
50.9%
1 26
24.1%

T01_5
Real number (ℝ)

Missing 

Do you have a motorbike of your own? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.901234568
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:11.033528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3002056908
Coefficient of variation (CV)0.1579003958
Kurtosis5.650584893
Mean1.901234568
Median Absolute Deviation (MAD)0
Skewness-2.740736886
Sum154
Variance0.09012345679
MonotonicityNot monotonic
2025-03-05T10:34:11.277086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 73
67.6%
1 8
 
7.4%
(Missing) 27
 
25.0%
ValueCountFrequency (%)
1 8
 
7.4%
2 73
67.6%
ValueCountFrequency (%)
2 73
67.6%
1 8
 
7.4%

T01_6
Real number (ℝ)

Missing 

Do you have access to a car whenever you want? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.320987654
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:11.511609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4697648479
Coefficient of variation (CV)0.3556163802
Kurtosis-1.425184358
Mean1.320987654
Median Absolute Deviation (MAD)0
Skewness0.7814305588
Sum107
Variance0.2206790123
MonotonicityNot monotonic
2025-03-05T10:34:11.750894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 55
50.9%
2 26
24.1%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 55
50.9%
2 26
24.1%
ValueCountFrequency (%)
2 26
24.1%
1 55
50.9%

T01_7
Real number (ℝ)

Missing 

Do you have access to a motorbike whenever you want? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.888888889
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:11.992395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.316227766
Coefficient of variation (CV)0.1674146997
Kurtosis4.46932814
Mean1.888888889
Median Absolute Deviation (MAD)0
Skewness-2.521816362
Sum153
Variance0.1
MonotonicityNot monotonic
2025-03-05T10:34:12.234227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 72
66.7%
1 9
 
8.3%
(Missing) 27
 
25.0%
ValueCountFrequency (%)
1 9
 
8.3%
2 72
66.7%
ValueCountFrequency (%)
2 72
66.7%
1 9
 
8.3%

T02_1
Boolean

Imbalance  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
True
73 
False
(Missing)
27 
ValueCountFrequency (%)
True 73
67.6%
False 8
 
7.4%
(Missing) 27
 
25.0%
2025-03-05T10:34:12.487982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_2
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
False
50 
True
31 
(Missing)
27 
ValueCountFrequency (%)
False 50
46.3%
True 31
28.7%
(Missing) 27
25.0%
2025-03-05T10:34:12.722897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_3
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
True
46 
False
35 
(Missing)
27 
ValueCountFrequency (%)
True 46
42.6%
False 35
32.4%
(Missing) 27
25.0%
2025-03-05T10:34:12.960303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_4
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
False
68 
True
13 
(Missing)
27 
ValueCountFrequency (%)
False 68
63.0%
True 13
 
12.0%
(Missing) 27
 
25.0%
2025-03-05T10:34:13.193289image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_5
Boolean

Imbalance  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
False
77 
True
 
4
(Missing)
27 
ValueCountFrequency (%)
False 77
71.3%
True 4
 
3.7%
(Missing) 27
 
25.0%
2025-03-05T10:34:13.419334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_6
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
True
60 
False
21 
(Missing)
27 
ValueCountFrequency (%)
True 60
55.6%
False 21
 
19.4%
(Missing) 27
25.0%
2025-03-05T10:34:13.640672image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_7
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
True
54 
False
27 
(Missing)
27 
ValueCountFrequency (%)
True 54
50.0%
False 27
25.0%
(Missing) 27
25.0%
2025-03-05T10:34:13.866344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_8
Boolean

Imbalance  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
False
80 
True
 
1
(Missing)
27 
ValueCountFrequency (%)
False 80
74.1%
True 1
 
0.9%
(Missing) 27
 
25.0%
2025-03-05T10:34:14.095574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C01
Real number (ℝ)

Missing 

Would you say you know how to cook? Answer: 1.Yes, I know how to cook., 2.Yes, but only basic things., 3.No, I do not know how to cook.

Distinct3
Distinct (%)3.7%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.283950617
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:14.304987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4804832958
Coefficient of variation (CV)0.3742225669
Kurtosis0.5689686815
Mean1.283950617
Median Absolute Deviation (MAD)0
Skewness1.318612709
Sum104
Variance0.2308641975
MonotonicityNot monotonic
2025-03-05T10:34:14.562028image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 59
54.6%
2 21
 
19.4%
3 1
 
0.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 59
54.6%
2 21
 
19.4%
3 1
 
0.9%
ValueCountFrequency (%)
3 1
 
0.9%
2 21
 
19.4%
1 59
54.6%

C04
Real number (ℝ)

Missing 

C04. How often do you cook a main meal? Answer: 1.Daily, 2Several times a week 3.Once a week 4.Less than once a week 5.Neve

Distinct5
Distinct (%)6.2%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.407407407
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:14.815084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8027729719
Coefficient of variation (CV)0.5703913222
Kurtosis6.167560295
Mean1.407407407
Median Absolute Deviation (MAD)0
Skewness2.390910539
Sum114
Variance0.6444444444
MonotonicityNot monotonic
2025-03-05T10:34:15.070936image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 59
54.6%
2 15
 
13.9%
3 4
 
3.7%
4 2
 
1.9%
5 1
 
0.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 59
54.6%
2 15
 
13.9%
3 4
 
3.7%
4 2
 
1.9%
5 1
 
0.9%
ValueCountFrequency (%)
5 1
 
0.9%
4 2
 
1.9%
3 4
 
3.7%
2 15
 
13.9%
1 59
54.6%

C07_1
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I don’t follow a specific diet

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
True
50 
False
31 
(Missing)
27 
ValueCountFrequency (%)
True 50
46.3%
False 31
28.7%
(Missing) 27
25.0%
2025-03-05T10:34:15.340271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_2
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I follow a vegetarian or vegan diet

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
False
68 
True
13 
(Missing)
27 
ValueCountFrequency (%)
False 68
63.0%
True 13
 
12.0%
(Missing) 27
 
25.0%
2025-03-05T10:34:15.566130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_3
Boolean

Imbalance  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid certain foods for religious or cultural reasons

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
False
80 
True
 
1
(Missing)
27 
ValueCountFrequency (%)
False 80
74.1%
True 1
 
0.9%
(Missing) 27
 
25.0%
2025-03-05T10:34:15.792763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_4
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
False
69 
True
12 
(Missing)
27 
ValueCountFrequency (%)
False 69
63.9%
True 12
 
11.1%
(Missing) 27
 
25.0%
2025-03-05T10:34:16.012572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_5
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I have no health issues but follow a health-food diet rigidly

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
False
70 
True
11 
(Missing)
27 
ValueCountFrequency (%)
False 70
64.8%
True 11
 
10.2%
(Missing) 27
 
25.0%
2025-03-05T10:34:16.237637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_6
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I limit consumption of certain foods to lose/maintain weight

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
False
57 
True
24 
(Missing)
27 
ValueCountFrequency (%)
False 57
52.8%
True 24
22.2%
(Missing) 27
25.0%
2025-03-05T10:34:16.464796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_7
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I like to try new foods and tastes.

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Memory size348.0 B
True
54 
False
27 
(Missing)
27 
ValueCountFrequency (%)
True 54
50.0%
False 27
25.0%
(Missing) 27
25.0%
2025-03-05T10:34:16.691398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C08
Real number (ℝ)

Missing 

Which of the following statements best describes you? Answer: 1.For me, eating is a pleasure, 2.Eating for me is just a way not to feel hungry.

Distinct2
Distinct (%)2.5%
Missing28
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean1.1125
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:16.919179image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3179742048
Coefficient of variation (CV)0.28581951
Kurtosis4.357332808
Mean1.1125
Median Absolute Deviation (MAD)0
Skewness2.499799615
Sum89
Variance0.1011075949
MonotonicityNot monotonic
2025-03-05T10:34:17.160201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 71
65.7%
2 9
 
8.3%
(Missing) 28
 
25.9%
ValueCountFrequency (%)
1 71
65.7%
2 9
 
8.3%
ValueCountFrequency (%)
2 9
 
8.3%
1 71
65.7%

C10_1
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Organic

Distinct4
Distinct (%)4.9%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2.530864198
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:17.390380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7597107962
Coefficient of variation (CV)0.3001784121
Kurtosis-0.1995379132
Mean2.530864198
Median Absolute Deviation (MAD)0
Skewness-0.5452095535
Sum205
Variance0.5771604938
MonotonicityNot monotonic
2025-03-05T10:34:17.615607image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 44
40.7%
2 24
22.2%
1 9
 
8.3%
4 4
 
3.7%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 9
 
8.3%
2 24
22.2%
3 44
40.7%
4 4
 
3.7%
ValueCountFrequency (%)
4 4
 
3.7%
3 44
40.7%
2 24
22.2%
1 9
 
8.3%

C10_2
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Zero-mile

Distinct4
Distinct (%)4.9%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2.543209877
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:17.845412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7079792143
Coefficient of variation (CV)0.2783801765
Kurtosis-0.1468618255
Mean2.543209877
Median Absolute Deviation (MAD)1
Skewness-0.1563674895
Sum206
Variance0.5012345679
MonotonicityNot monotonic
2025-03-05T10:34:18.072523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 39
36.1%
2 32
29.6%
1 5
 
4.6%
4 5
 
4.6%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 5
 
4.6%
2 32
29.6%
3 39
36.1%
4 5
 
4.6%
ValueCountFrequency (%)
4 5
 
4.6%
3 39
36.1%
2 32
29.6%
1 5
 
4.6%

C10_3
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements

Distinct3
Distinct (%)3.7%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.061728395
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:18.308327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3296088216
Coefficient of variation (CV)0.3104455181
Kurtosis29.99421357
Mean1.061728395
Median Absolute Deviation (MAD)0
Skewness5.501561068
Sum86
Variance0.1086419753
MonotonicityNot monotonic
2025-03-05T10:34:18.556019image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 78
72.2%
3 2
 
1.9%
2 1
 
0.9%
(Missing) 27
 
25.0%
ValueCountFrequency (%)
1 78
72.2%
2 1
 
0.9%
3 2
 
1.9%
ValueCountFrequency (%)
3 2
 
1.9%
2 1
 
0.9%
1 78
72.2%

C10_4
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Dietary supplements - vitamins, iron, potassium...

Distinct4
Distinct (%)4.9%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.864197531
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:18.802026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.045861922
Coefficient of variation (CV)0.5610252696
Kurtosis-0.696213013
Mean1.864197531
Median Absolute Deviation (MAD)0
Skewness0.8161979062
Sum151
Variance1.09382716
MonotonicityNot monotonic
2025-03-05T10:34:19.024176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 42
38.9%
2 16
 
14.8%
3 15
 
13.9%
4 8
 
7.4%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 42
38.9%
2 16
 
14.8%
3 15
 
13.9%
4 8
 
7.4%
ValueCountFrequency (%)
4 8
 
7.4%
3 15
 
13.9%
2 16
 
14.8%
1 42
38.9%

C10_5
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Frozen items

Distinct4
Distinct (%)4.9%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2.358024691
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:19.246193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7468038895
Coefficient of variation (CV)0.3167074086
Kurtosis-0.2826589995
Mean2.358024691
Median Absolute Deviation (MAD)1
Skewness0.04186345538
Sum191
Variance0.5577160494
MonotonicityNot monotonic
2025-03-05T10:34:19.482358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 38
35.2%
3 30
27.8%
1 9
 
8.3%
4 4
 
3.7%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 9
 
8.3%
2 38
35.2%
3 30
27.8%
4 4
 
3.7%
ValueCountFrequency (%)
4 4
 
3.7%
3 30
27.8%
2 38
35.2%
1 9
 
8.3%

C10_6
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Allergen-free products - gluten free, lactose free

Distinct4
Distinct (%)4.9%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.456790123
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:19.712955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8223348271
Coefficient of variation (CV)0.5644840762
Kurtosis2.023957869
Mean1.456790123
Median Absolute Deviation (MAD)0
Skewness1.731881412
Sum118
Variance0.6762345679
MonotonicityNot monotonic
2025-03-05T10:34:19.946063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 58
53.7%
2 12
 
11.1%
3 8
 
7.4%
4 3
 
2.8%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 58
53.7%
2 12
 
11.1%
3 8
 
7.4%
4 3
 
2.8%
ValueCountFrequency (%)
4 3
 
2.8%
3 8
 
7.4%
2 12
 
11.1%
1 58
53.7%

C10_7
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Ready meals - to be just heated or defrosted in microwave/oven

Distinct4
Distinct (%)4.9%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.679012346
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:20.173839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7554329966
Coefficient of variation (CV)0.4499270053
Kurtosis0.6418277414
Mean1.679012346
Median Absolute Deviation (MAD)1
Skewness0.9704218729
Sum136
Variance0.5706790123
MonotonicityNot monotonic
2025-03-05T10:34:20.417279image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 38
35.2%
2 33
30.6%
3 8
 
7.4%
4 2
 
1.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 38
35.2%
2 33
30.6%
3 8
 
7.4%
4 2
 
1.9%
ValueCountFrequency (%)
4 2
 
1.9%
3 8
 
7.4%
2 33
30.6%
1 38
35.2%

C12_1
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops)

Distinct4
Distinct (%)4.9%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2.061728395
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:20.648368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8710005599
Coefficient of variation (CV)0.4224613494
Kurtosis-0.9454218819
Mean2.061728395
Median Absolute Deviation (MAD)1
Skewness0.2277443438
Sum167
Variance0.7586419753
MonotonicityNot monotonic
2025-03-05T10:34:20.887609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 29
26.9%
1 25
23.1%
3 24
22.2%
4 3
 
2.8%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 25
23.1%
2 29
26.9%
3 24
22.2%
4 3
 
2.8%
ValueCountFrequency (%)
4 3
 
2.8%
3 24
22.2%
2 29
26.9%
1 25
23.1%

C12_2
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Organic Shops

Distinct4
Distinct (%)4.9%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:21.125152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.083974169
Coefficient of variation (CV)0.6503845017
Kurtosis3.253592566
Mean1.666666667
Median Absolute Deviation (MAD)0
Skewness1.9118981
Sum135
Variance1.175
MonotonicityNot monotonic
2025-03-05T10:34:21.379625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 50
46.3%
2 18
 
16.7%
3 8
 
7.4%
5 5
 
4.6%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 50
46.3%
2 18
 
16.7%
3 8
 
7.4%
5 5
 
4.6%
ValueCountFrequency (%)
5 5
 
4.6%
3 8
 
7.4%
2 18
 
16.7%
1 50
46.3%

C12_3
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Supermarkets

Distinct4
Distinct (%)4.9%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean3.691358025
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:21.618840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q34
95-th percentile4
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5839943345
Coefficient of variation (CV)0.1582058231
Kurtosis0.4890749143
Mean3.691358025
Median Absolute Deviation (MAD)0
Skewness-0.602022934
Sum299
Variance0.3410493827
MonotonicityNot monotonic
2025-03-05T10:34:21.845370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 52
48.1%
3 24
22.2%
5 3
 
2.8%
2 2
 
1.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
2 2
 
1.9%
3 24
22.2%
4 52
48.1%
5 3
 
2.8%
ValueCountFrequency (%)
5 3
 
2.8%
4 52
48.1%
3 24
22.2%
2 2
 
1.9%

C12_4
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Discount supermarket

Distinct5
Distinct (%)6.2%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2.222222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:22.078319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.129158979
Coefficient of variation (CV)0.5081215406
Kurtosis-0.6668246465
Mean2.222222222
Median Absolute Deviation (MAD)1
Skewness0.5618346109
Sum180
Variance1.275
MonotonicityNot monotonic
2025-03-05T10:34:22.332081image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 27
25.0%
2 24
22.2%
3 17
15.7%
4 11
10.2%
5 2
 
1.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 27
25.0%
2 24
22.2%
3 17
15.7%
4 11
10.2%
5 2
 
1.9%
ValueCountFrequency (%)
5 2
 
1.9%
4 11
10.2%
3 17
15.7%
2 24
22.2%
1 27
25.0%

C12_5
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Street markets

Distinct4
Distinct (%)4.9%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.691358025
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:22.571851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7523625341
Coefficient of variation (CV)0.4448274837
Kurtosis-0.1878134717
Mean1.691358025
Median Absolute Deviation (MAD)1
Skewness0.761723135
Sum137
Variance0.5660493827
MonotonicityNot monotonic
2025-03-05T10:34:22.805938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 38
35.2%
2 31
28.7%
3 11
 
10.2%
4 1
 
0.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 38
35.2%
2 31
28.7%
3 11
 
10.2%
4 1
 
0.9%
ValueCountFrequency (%)
4 1
 
0.9%
3 11
 
10.2%
2 31
28.7%
1 38
35.2%

D01
Real number (ℝ)

Missing 

Beyond walking about, do you engage in other physical activities? Answer: 1. Yes 2. No

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.419753086
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:23.051497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4965933329
Coefficient of variation (CV)0.3497744345
Kurtosis-1.938694059
Mean1.419753086
Median Absolute Deviation (MAD)0
Skewness0.33137167
Sum115
Variance0.2466049383
MonotonicityNot monotonic
2025-03-05T10:34:23.281897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 47
43.5%
2 34
31.5%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 47
43.5%
2 34
31.5%
ValueCountFrequency (%)
2 34
31.5%
1 47
43.5%

D02
Real number (ℝ)

Missing 

Have you been physically active on a regular basis in the last year or so? Answer: 1.Yes 2.No [If D01=No and D02=No go to F01]

Distinct2
Distinct (%)2.5%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.518518519
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:23.516376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5027701043
Coefficient of variation (CV)0.3310925077
Kurtosis-2.045432659
Mean1.518518519
Median Absolute Deviation (MAD)0
Skewness-0.07553091009
Sum123
Variance0.2527777778
MonotonicityNot monotonic
2025-03-05T10:34:23.755630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 42
38.9%
1 39
36.1%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 39
36.1%
2 42
38.9%
ValueCountFrequency (%)
2 42
38.9%
1 39
36.1%

D03_1
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping

Distinct4
Distinct (%)8.5%
Missing61
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.382978723
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:23.970828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3.7
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8483536867
Coefficient of variation (CV)0.356005565
Kurtosis-0.6706902625
Mean2.382978723
Median Absolute Deviation (MAD)1
Skewness-0.1739343424
Sum112
Variance0.7197039778
MonotonicityNot monotonic
2025-03-05T10:34:24.200222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 20
 
18.5%
2 16
 
14.8%
1 8
 
7.4%
4 3
 
2.8%
(Missing) 61
56.5%
ValueCountFrequency (%)
1 8
 
7.4%
2 16
14.8%
3 20
18.5%
4 3
 
2.8%
ValueCountFrequency (%)
4 3
 
2.8%
3 20
18.5%
2 16
14.8%
1 8
 
7.4%

D03_2
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates

Distinct4
Distinct (%)8.5%
Missing61
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean1.936170213
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:24.423670image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.050967573
Coefficient of variation (CV)0.5428074279
Kurtosis-0.7872097404
Mean1.936170213
Median Absolute Deviation (MAD)1
Skewness0.7186486064
Sum91
Variance1.10453284
MonotonicityNot monotonic
2025-03-05T10:34:24.662041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22
 
20.4%
2 11
 
10.2%
3 9
 
8.3%
4 5
 
4.6%
(Missing) 61
56.5%
ValueCountFrequency (%)
1 22
20.4%
2 11
10.2%
3 9
8.3%
4 5
 
4.6%
ValueCountFrequency (%)
4 5
 
4.6%
3 9
8.3%
2 11
10.2%
1 22
20.4%

D03_3
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing

Distinct3
Distinct (%)6.4%
Missing61
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean1.170212766
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:24.893576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5241618127
Coefficient of variation (CV)0.4479200945
Kurtosis18.62423542
Mean1.170212766
Median Absolute Deviation (MAD)0
Skewness3.991193892
Sum55
Variance0.2747456059
MonotonicityNot monotonic
2025-03-05T10:34:25.115663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 41
38.0%
2 5
 
4.6%
4 1
 
0.9%
(Missing) 61
56.5%
ValueCountFrequency (%)
1 41
38.0%
2 5
 
4.6%
4 1
 
0.9%
ValueCountFrequency (%)
4 1
 
0.9%
2 5
 
4.6%
1 41
38.0%

D03_4
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Weightlifting and resistance training including free weights, bench press, leg press, push ups, pull ups or sit ups

Distinct4
Distinct (%)8.5%
Missing61
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:25.343610image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.083472678
Coefficient of variation (CV)0.5417363389
Kurtosis-1.157027061
Mean2
Median Absolute Deviation (MAD)1
Skewness0.535543651
Sum94
Variance1.173913043
MonotonicityNot monotonic
2025-03-05T10:34:25.572212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22
 
20.4%
3 12
 
11.1%
2 8
 
7.4%
4 5
 
4.6%
(Missing) 61
56.5%
ValueCountFrequency (%)
1 22
20.4%
2 8
 
7.4%
3 12
11.1%
4 5
 
4.6%
ValueCountFrequency (%)
4 5
 
4.6%
3 12
11.1%
2 8
 
7.4%
1 22
20.4%

D03_5
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball

Distinct4
Distinct (%)8.5%
Missing61
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean1.829787234
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:25.796469image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3.7
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9850877016
Coefficient of variation (CV)0.5383618834
Kurtosis-0.6628491217
Mean1.829787234
Median Absolute Deviation (MAD)0
Skewness0.7844336476
Sum86
Variance0.9703977798
MonotonicityNot monotonic
2025-03-05T10:34:26.030040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 24
 
22.2%
2 10
 
9.3%
3 10
 
9.3%
4 3
 
2.8%
(Missing) 61
56.5%
ValueCountFrequency (%)
1 24
22.2%
2 10
9.3%
3 10
9.3%
4 3
 
2.8%
ValueCountFrequency (%)
4 3
 
2.8%
3 10
9.3%
2 10
9.3%
1 24
22.2%

D03_6
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Boxing and martial arts like judo, karate and taekwondo

Distinct3
Distinct (%)6.4%
Missing61
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean1.063829787
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:26.268680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3233153878
Coefficient of variation (CV)0.3039164645
Kurtosis30.39227817
Mean1.063829787
Median Absolute Deviation (MAD)0
Skewness5.419514368
Sum50
Variance0.10453284
MonotonicityNot monotonic
2025-03-05T10:34:26.524668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 45
41.7%
3 1
 
0.9%
2 1
 
0.9%
(Missing) 61
56.5%
ValueCountFrequency (%)
1 45
41.7%
2 1
 
0.9%
3 1
 
0.9%
ValueCountFrequency (%)
3 1
 
0.9%
2 1
 
0.9%
1 45
41.7%

D03_7
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Racket sports such as tennis, ping pong, and squash

Distinct3
Distinct (%)6.4%
Missing61
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean1.340425532
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:26.772831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2.7
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5998766447
Coefficient of variation (CV)0.4475270207
Kurtosis1.596174418
Mean1.340425532
Median Absolute Deviation (MAD)0
Skewness1.603014514
Sum63
Variance0.3598519889
MonotonicityNot monotonic
2025-03-05T10:34:27.036461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 34
31.5%
2 10
 
9.3%
3 3
 
2.8%
(Missing) 61
56.5%
ValueCountFrequency (%)
1 34
31.5%
2 10
 
9.3%
3 3
 
2.8%
ValueCountFrequency (%)
3 3
 
2.8%
2 10
 
9.3%
1 34
31.5%

D03_8
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding

Distinct3
Distinct (%)6.4%
Missing61
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean1.872340426
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:27.296137image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7694442172
Coefficient of variation (CV)0.4109531614
Kurtosis-1.253105232
Mean1.872340426
Median Absolute Deviation (MAD)1
Skewness0.225676962
Sum88
Variance0.5920444033
MonotonicityNot monotonic
2025-03-05T10:34:27.563406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 19
 
17.6%
1 17
 
15.7%
3 11
 
10.2%
(Missing) 61
56.5%
ValueCountFrequency (%)
1 17
15.7%
2 19
17.6%
3 11
10.2%
ValueCountFrequency (%)
3 11
10.2%
2 19
17.6%
1 17
15.7%

D04
Real number (ℝ)

Missing 

How often do you do physical exercise? Answer: 1.Every few weeks or less, 2.Once or twice a week, 3.Three to five days a week, 4.Six to seven days a week

Distinct4
Distinct (%)8.5%
Missing61
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.191489362
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:27.815593image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7700451108
Coefficient of variation (CV)0.3513798079
Kurtosis-0.6910741022
Mean2.191489362
Median Absolute Deviation (MAD)1
Skewness-0.04970297247
Sum103
Variance0.5929694727
MonotonicityNot monotonic
2025-03-05T10:34:28.042203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 21
 
19.4%
3 16
 
14.8%
1 9
 
8.3%
4 1
 
0.9%
(Missing) 61
56.5%
ValueCountFrequency (%)
1 9
8.3%
2 21
19.4%
3 16
14.8%
4 1
 
0.9%
ValueCountFrequency (%)
4 1
 
0.9%
3 16
14.8%
2 21
19.4%
1 9
8.3%

D06_1
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Wearable fitness trackers

Distinct2
Distinct (%)4.3%
Missing61
Missing (%)56.5%
Memory size348.0 B
False
40 
True
(Missing)
61 
ValueCountFrequency (%)
False 40
37.0%
True 7
 
6.5%
(Missing) 61
56.5%
2025-03-05T10:34:28.266937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_2
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartwatches

Distinct2
Distinct (%)4.3%
Missing61
Missing (%)56.5%
Memory size348.0 B
False
39 
True
(Missing)
61 
ValueCountFrequency (%)
False 39
36.1%
True 8
 
7.4%
(Missing) 61
56.5%
2025-03-05T10:34:28.453207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_3
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartphone fitness apps

Distinct2
Distinct (%)4.3%
Missing61
Missing (%)56.5%
Memory size348.0 B
False
35 
True
12 
(Missing)
61 
ValueCountFrequency (%)
False 35
32.4%
True 12
 
11.1%
(Missing) 61
56.5%
2025-03-05T10:34:28.640864image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_4
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Headphones

Distinct2
Distinct (%)4.3%
Missing61
Missing (%)56.5%
Memory size348.0 B
False
26 
True
21 
(Missing)
61 
ValueCountFrequency (%)
False 26
24.1%
True 21
 
19.4%
(Missing) 61
56.5%
2025-03-05T10:34:28.827245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_5
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice)

Distinct2
Distinct (%)4.3%
Missing61
Missing (%)56.5%
Memory size348.0 B
False
27 
True
20 
(Missing)
61 
ValueCountFrequency (%)
False 27
25.0%
True 20
 
18.5%
(Missing) 61
56.5%
2025-03-05T10:34:29.016694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_other
Text

Constant  Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Other, please specify: ______

Distinct1
Distinct (%)100.0%
Missing107
Missing (%)99.1%
Memory size1.0 KiB
2025-03-05T10:34:29.194845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length41
Median length41
Mean length41
Min length41

Characters and Unicode

Total characters41
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowQuaderno per annotare serie e ripetizioni
ValueCountFrequency (%)
quaderno 1
16.7%
per 1
16.7%
annotare 1
16.7%
serie 1
16.7%
e 1
16.7%
ripetizioni 1
16.7%
2025-03-05T10:34:29.649117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 7
17.1%
r 5
12.2%
5
12.2%
i 5
12.2%
n 4
9.8%
a 3
7.3%
o 3
7.3%
p 2
 
4.9%
t 2
 
4.9%
Q 1
 
2.4%
Other values (4) 4
9.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 41
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 7
17.1%
r 5
12.2%
5
12.2%
i 5
12.2%
n 4
9.8%
a 3
7.3%
o 3
7.3%
p 2
 
4.9%
t 2
 
4.9%
Q 1
 
2.4%
Other values (4) 4
9.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 41
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 7
17.1%
r 5
12.2%
5
12.2%
i 5
12.2%
n 4
9.8%
a 3
7.3%
o 3
7.3%
p 2
 
4.9%
t 2
 
4.9%
Q 1
 
2.4%
Other values (4) 4
9.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 41
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 7
17.1%
r 5
12.2%
5
12.2%
i 5
12.2%
n 4
9.8%
a 3
7.3%
o 3
7.3%
p 2
 
4.9%
t 2
 
4.9%
Q 1
 
2.4%
Other values (4) 4
9.8%

M01_1
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Writing is a natural way for me to express myself.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean2.455696203
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:29.865049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.347338006
Coefficient of variation (CV)0.54865826
Kurtosis-0.7282587668
Mean2.455696203
Median Absolute Deviation (MAD)1
Skewness0.6289522758
Sum194
Variance1.815319701
MonotonicityNot monotonic
2025-03-05T10:34:30.121349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 24
22.2%
2 22
20.4%
3 16
14.8%
5 10
 
9.3%
4 7
 
6.5%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 24
22.2%
2 22
20.4%
3 16
14.8%
4 7
 
6.5%
5 10
9.3%
ValueCountFrequency (%)
5 10
9.3%
4 7
 
6.5%
3 16
14.8%
2 22
20.4%
1 24
22.2%

M01_2
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.139240506
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:30.373726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.599151836
Coefficient of variation (CV)0.5094072381
Kurtosis-1.59576118
Mean3.139240506
Median Absolute Deviation (MAD)2
Skewness-0.07891642727
Sum248
Variance2.557286595
MonotonicityNot monotonic
2025-03-05T10:34:30.628024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 26
24.1%
1 18
16.7%
2 15
13.9%
3 10
 
9.3%
4 10
 
9.3%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 18
16.7%
2 15
13.9%
3 10
 
9.3%
4 10
 
9.3%
5 26
24.1%
ValueCountFrequency (%)
5 26
24.1%
4 10
 
9.3%
3 10
 
9.3%
2 15
13.9%
1 18
16.7%

M01_3
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I have recently written something that I am especially proud of, or for which I have received recognition.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean1.860759494
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:30.886476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.206118772
Coefficient of variation (CV)0.6481862789
Kurtosis0.1589486058
Mean1.860759494
Median Absolute Deviation (MAD)0
Skewness1.174072773
Sum147
Variance1.454722493
MonotonicityNot monotonic
2025-03-05T10:34:31.135766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 46
42.6%
2 12
 
11.1%
3 10
 
9.3%
4 8
 
7.4%
5 3
 
2.8%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 46
42.6%
2 12
 
11.1%
3 10
 
9.3%
4 8
 
7.4%
5 3
 
2.8%
ValueCountFrequency (%)
5 3
 
2.8%
4 8
 
7.4%
3 10
 
9.3%
2 12
 
11.1%
1 46
42.6%

M01_4
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Metaphors and vivid verbal expressions help me learn efficiently.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.291139241
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:31.385283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.111154386
Coefficient of variation (CV)0.3376199866
Kurtosis-0.9026418877
Mean3.291139241
Median Absolute Deviation (MAD)1
Skewness-0.0868938667
Sum260
Variance1.23466407
MonotonicityNot monotonic
2025-03-05T10:34:31.641163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 24
22.2%
3 21
19.4%
2 19
17.6%
5 12
11.1%
1 3
 
2.8%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 3
 
2.8%
2 19
17.6%
3 21
19.4%
4 24
22.2%
5 12
11.1%
ValueCountFrequency (%)
5 12
11.1%
4 24
22.2%
3 21
19.4%
2 19
17.6%
1 3
 
2.8%

M01_5
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school I was good at mathematics, physics or chemistry.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.341772152
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:31.892541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.492597769
Coefficient of variation (CV)0.4466485749
Kurtosis-1.354554034
Mean3.341772152
Median Absolute Deviation (MAD)1
Skewness-0.301912948
Sum264
Variance2.227848101
MonotonicityNot monotonic
2025-03-05T10:34:32.153242image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 26
24.1%
4 14
13.0%
3 13
12.0%
2 13
12.0%
1 13
12.0%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 13
12.0%
2 13
12.0%
3 13
12.0%
4 14
13.0%
5 26
24.1%
ValueCountFrequency (%)
5 26
24.1%
4 14
13.0%
3 13
12.0%
2 13
12.0%
1 13
12.0%

M01_6
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can work with and solve complex problems.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.341772152
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:32.404888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.972520858
Coefficient of variation (CV)0.2910194992
Kurtosis-0.2644644103
Mean3.341772152
Median Absolute Deviation (MAD)1
Skewness-0.4832587678
Sum264
Variance0.9457968192
MonotonicityNot monotonic
2025-03-05T10:34:32.667826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 34
31.5%
3 23
21.3%
2 13
 
12.0%
5 6
 
5.6%
1 3
 
2.8%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 3
 
2.8%
2 13
 
12.0%
3 23
21.3%
4 34
31.5%
5 6
 
5.6%
ValueCountFrequency (%)
5 6
 
5.6%
4 34
31.5%
3 23
21.3%
2 13
 
12.0%
1 3
 
2.8%

M01_7
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Mental arithmetic is easy for me.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.075949367
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:32.930135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.318236506
Coefficient of variation (CV)0.4285624853
Kurtosis-1.16168131
Mean3.075949367
Median Absolute Deviation (MAD)1
Skewness-0.1430793868
Sum243
Variance1.737747485
MonotonicityNot monotonic
2025-03-05T10:34:33.183204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 23
21.3%
2 17
15.7%
3 15
13.9%
5 12
11.1%
1 12
11.1%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 12
11.1%
2 17
15.7%
3 15
13.9%
4 23
21.3%
5 12
11.1%
ValueCountFrequency (%)
5 12
11.1%
4 23
21.3%
3 15
13.9%
2 17
15.7%
1 12
11.1%

M01_8
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at games and problem solving, which require logical thinking.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.35443038
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:33.432237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.240739799
Coefficient of variation (CV)0.3698809211
Kurtosis-0.8754831738
Mean3.35443038
Median Absolute Deviation (MAD)1
Skewness-0.3387689682
Sum265
Variance1.539435248
MonotonicityNot monotonic
2025-03-05T10:34:33.689668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 24
22.2%
3 18
16.7%
5 16
14.8%
2 14
13.0%
1 7
 
6.5%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 7
 
6.5%
2 14
13.0%
3 18
16.7%
4 24
22.2%
5 16
14.8%
ValueCountFrequency (%)
5 16
14.8%
4 24
22.2%
3 18
16.7%
2 14
13.0%
1 7
 
6.5%

M01_9
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean2.632911392
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:33.944143image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33.5
95-th percentile4.1
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.145528824
Coefficient of variation (CV)0.4350806592
Kurtosis-0.8243089794
Mean2.632911392
Median Absolute Deviation (MAD)1
Skewness0.2417476131
Sum208
Variance1.312236287
MonotonicityNot monotonic
2025-03-05T10:34:34.198488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 25
23.1%
3 20
18.5%
4 16
14.8%
1 14
13.0%
5 4
 
3.7%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 14
13.0%
2 25
23.1%
3 20
18.5%
4 16
14.8%
5 4
 
3.7%
ValueCountFrequency (%)
5 4
 
3.7%
4 16
14.8%
3 20
18.5%
2 25
23.1%
1 14
13.0%

M01_10
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is easy for me to conceptualize complex and multidimensional patterns.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean2.759493671
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:34.450170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.211220934
Coefficient of variation (CV)0.438928687
Kurtosis-1.003557235
Mean2.759493671
Median Absolute Deviation (MAD)1
Skewness0.1677581324
Sum218
Variance1.467056151
MonotonicityNot monotonic
2025-03-05T10:34:34.707809image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 24
22.2%
4 19
17.6%
3 17
15.7%
1 13
12.0%
5 6
 
5.6%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 13
12.0%
2 24
22.2%
3 17
15.7%
4 19
17.6%
5 6
 
5.6%
ValueCountFrequency (%)
5 6
 
5.6%
4 19
17.6%
3 17
15.7%
2 24
22.2%
1 13
12.0%

M01_11
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily imagine how a landscape looks from a bird’s-eye view.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.063291139
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:34.958401image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.180414662
Coefficient of variation (CV)0.3853419763
Kurtosis-0.8565693514
Mean3.063291139
Median Absolute Deviation (MAD)1
Skewness0.1626938862
Sum242
Variance1.393378773
MonotonicityNot monotonic
2025-03-05T10:34:35.214016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 24
22.2%
2 22
20.4%
4 15
13.9%
5 12
11.1%
1 6
 
5.6%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 6
 
5.6%
2 22
20.4%
3 24
22.2%
4 15
13.9%
5 12
11.1%
ValueCountFrequency (%)
5 12
11.1%
4 15
13.9%
3 24
22.2%
2 22
20.4%
1 6
 
5.6%

M01_12
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When I read, I form illustrative pictures or designs in my mind.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.759493671
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:35.470141image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.14595375
Coefficient of variation (CV)0.3048159806
Kurtosis-0.3867025882
Mean3.759493671
Median Absolute Deviation (MAD)1
Skewness-0.7166887436
Sum297
Variance1.313209997
MonotonicityNot monotonic
2025-03-05T10:34:35.729810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 29
26.9%
5 24
22.2%
3 12
11.1%
2 11
 
10.2%
1 3
 
2.8%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 3
 
2.8%
2 11
 
10.2%
3 12
11.1%
4 29
26.9%
5 24
22.2%
ValueCountFrequency (%)
5 24
22.2%
4 29
26.9%
3 12
11.1%
2 11
 
10.2%
1 3
 
2.8%

M01_13
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am handy.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.518987342
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:35.983521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.196798716
Coefficient of variation (CV)0.3400974768
Kurtosis-0.5262492806
Mean3.518987342
Median Absolute Deviation (MAD)1
Skewness-0.5523916729
Sum278
Variance1.432327167
MonotonicityNot monotonic
2025-03-05T10:34:36.240988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 27
25.0%
3 18
16.7%
5 18
16.7%
2 10
 
9.3%
1 6
 
5.6%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 6
 
5.6%
2 10
 
9.3%
3 18
16.7%
4 27
25.0%
5 18
16.7%
ValueCountFrequency (%)
5 18
16.7%
4 27
25.0%
3 18
16.7%
2 10
 
9.3%
1 6
 
5.6%

M01_14
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily do something concrete with my hands (e.g. knitting and woodwork).

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean2.291139241
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:36.497846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.241916413
Coefficient of variation (CV)0.5420519152
Kurtosis-0.5667502869
Mean2.291139241
Median Absolute Deviation (MAD)1
Skewness0.7002585078
Sum181
Variance1.542356378
MonotonicityNot monotonic
2025-03-05T10:34:36.748576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 26
24.1%
2 25
23.1%
3 12
11.1%
4 11
 
10.2%
5 5
 
4.6%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 26
24.1%
2 25
23.1%
3 12
11.1%
4 11
10.2%
5 5
 
4.6%
ValueCountFrequency (%)
5 5
 
4.6%
4 11
10.2%
3 12
11.1%
2 25
23.1%
1 26
24.1%

M01_15
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at showing how to do something in practice.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.050632911
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:37.002010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.9726877141
Coefficient of variation (CV)0.3188478399
Kurtosis-0.1131572493
Mean3.050632911
Median Absolute Deviation (MAD)1
Skewness-0.1031949576
Sum241
Variance0.9461213892
MonotonicityNot monotonic
2025-03-05T10:34:37.272308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 35
32.4%
4 19
17.6%
2 15
13.9%
5 5
 
4.6%
1 5
 
4.6%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 5
 
4.6%
2 15
13.9%
3 35
32.4%
4 19
17.6%
5 5
 
4.6%
ValueCountFrequency (%)
5 5
 
4.6%
4 19
17.6%
3 35
32.4%
2 15
13.9%
1 5
 
4.6%

M01_16
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I was good at handicrafts at school

Distinct5
Distinct (%)6.4%
Missing30
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean2.730769231
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:37.528736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.345247304
Coefficient of variation (CV)0.4926257734
Kurtosis-1.032843447
Mean2.730769231
Median Absolute Deviation (MAD)1
Skewness0.2796136096
Sum213
Variance1.80969031
MonotonicityNot monotonic
2025-03-05T10:34:37.778839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 20
18.5%
1 18
16.7%
2 18
16.7%
4 11
 
10.2%
5 11
 
10.2%
(Missing) 30
27.8%
ValueCountFrequency (%)
1 18
16.7%
2 18
16.7%
3 20
18.5%
4 11
10.2%
5 11
10.2%
ValueCountFrequency (%)
5 11
10.2%
4 11
10.2%
3 20
18.5%
2 18
16.7%
1 18
16.7%

M01_17
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: After hearing a tune once or twice I am able to sing or whistle it quite accurately

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.050632911
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:38.032663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.269955927
Coefficient of variation (CV)0.4162926067
Kurtosis-1.07574487
Mean3.050632911
Median Absolute Deviation (MAD)1
Skewness0.1341012125
Sum241
Variance1.612788056
MonotonicityNot monotonic
2025-03-05T10:34:38.285107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 23
21.3%
3 19
17.6%
4 15
13.9%
5 14
13.0%
1 8
 
7.4%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 8
 
7.4%
2 23
21.3%
3 19
17.6%
4 15
13.9%
5 14
13.0%
ValueCountFrequency (%)
5 14
13.0%
4 15
13.9%
3 19
17.6%
2 23
21.3%
1 8
 
7.4%

M01_18
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When listening to music, I am able to discern instruments or recognize melodies.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:38.532763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.320450584
Coefficient of variation (CV)0.4401501945
Kurtosis-1.078570128
Mean3
Median Absolute Deviation (MAD)1
Skewness0
Sum237
Variance1.743589744
MonotonicityNot monotonic
2025-03-05T10:34:38.782599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 21
19.4%
4 16
14.8%
2 16
14.8%
5 13
12.0%
1 13
12.0%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 13
12.0%
2 16
14.8%
3 21
19.4%
4 16
14.8%
5 13
12.0%
ValueCountFrequency (%)
5 13
12.0%
4 16
14.8%
3 21
19.4%
2 16
14.8%
1 13
12.0%

M01_19
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily keep the rhythm when drumming a melody

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.113924051
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:39.031464image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.38663346
Coefficient of variation (CV)0.4453009893
Kurtosis-1.286987315
Mean3.113924051
Median Absolute Deviation (MAD)1
Skewness-0.1498505764
Sum246
Variance1.922752353
MonotonicityNot monotonic
2025-03-05T10:34:39.286777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 22
20.4%
2 17
15.7%
5 15
13.9%
1 13
12.0%
3 12
11.1%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 13
12.0%
2 17
15.7%
3 12
11.1%
4 22
20.4%
5 15
13.9%
ValueCountFrequency (%)
5 15
13.9%
4 22
20.4%
3 12
11.1%
2 17
15.7%
1 13
12.0%

M01_20
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I notice immediately if a melody is out of tune

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.113924051
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:39.547003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.330002331
Coefficient of variation (CV)0.4271145696
Kurtosis-1.296695947
Mean3.113924051
Median Absolute Deviation (MAD)1
Skewness0.0543846453
Sum246
Variance1.768906199
MonotonicityNot monotonic
2025-03-05T10:34:39.800806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 25
23.1%
4 18
16.7%
5 16
14.8%
3 12
11.1%
1 8
 
7.4%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 8
 
7.4%
2 25
23.1%
3 12
11.1%
4 18
16.7%
5 16
14.8%
ValueCountFrequency (%)
5 16
14.8%
4 18
16.7%
3 12
11.1%
2 25
23.1%
1 8
 
7.4%

M01_21
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even in strange company, I easily find someone to talk to

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.063291139
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:40.059856image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.12479938
Coefficient of variation (CV)0.3671865744
Kurtosis-0.6447307564
Mean3.063291139
Median Absolute Deviation (MAD)1
Skewness0.09467303918
Sum242
Variance1.265173645
MonotonicityNot monotonic
2025-03-05T10:34:40.314300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 28
25.9%
2 19
17.6%
4 16
14.8%
5 10
 
9.3%
1 6
 
5.6%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 6
 
5.6%
2 19
17.6%
3 28
25.9%
4 16
14.8%
5 10
 
9.3%
ValueCountFrequency (%)
5 10
 
9.3%
4 16
14.8%
3 28
25.9%
2 19
17.6%
1 6
 
5.6%

M01_22
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I get alone easily with different types of people

Distinct5
Distinct (%)6.4%
Missing30
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean2.948717949
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:40.565643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.183187813
Coefficient of variation (CV)0.4012549973
Kurtosis-0.8107816504
Mean2.948717949
Median Absolute Deviation (MAD)1
Skewness0.004782648228
Sum230
Variance1.3999334
MonotonicityNot monotonic
2025-03-05T10:34:40.824948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 24
22.2%
2 18
16.7%
4 18
16.7%
1 10
 
9.3%
5 8
 
7.4%
(Missing) 30
27.8%
ValueCountFrequency (%)
1 10
9.3%
2 18
16.7%
3 24
22.2%
4 18
16.7%
5 8
 
7.4%
ValueCountFrequency (%)
5 8
 
7.4%
4 18
16.7%
3 24
22.2%
2 18
16.7%
1 10
9.3%

M01_23
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I make contact easily with other people.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.227848101
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:41.087755image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.073567825
Coefficient of variation (CV)0.3325955221
Kurtosis-0.5344268508
Mean3.227848101
Median Absolute Deviation (MAD)1
Skewness-0.02534556933
Sum255
Variance1.152547874
MonotonicityNot monotonic
2025-03-05T10:34:41.360686image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 30
27.8%
4 19
17.6%
2 15
13.9%
5 11
 
10.2%
1 4
 
3.7%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 4
 
3.7%
2 15
13.9%
3 30
27.8%
4 19
17.6%
5 11
 
10.2%
ValueCountFrequency (%)
5 11
 
10.2%
4 19
17.6%
3 30
27.8%
2 15
13.9%
1 4
 
3.7%

M01_24
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In negotiations and group work, I am able to support the group to find a consensus.

Distinct4
Distinct (%)5.1%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.734177215
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:41.605690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9016915835
Coefficient of variation (CV)0.2414699495
Kurtosis-0.4939927146
Mean3.734177215
Median Absolute Deviation (MAD)1
Skewness-0.4116309523
Sum295
Variance0.8130477118
MonotonicityNot monotonic
2025-03-05T10:34:41.856625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 37
34.3%
3 18
16.7%
5 15
13.9%
2 9
 
8.3%
(Missing) 29
26.9%
ValueCountFrequency (%)
2 9
 
8.3%
3 18
16.7%
4 37
34.3%
5 15
13.9%
ValueCountFrequency (%)
5 15
13.9%
4 37
34.3%
3 18
16.7%
2 9
 
8.3%

M01_25
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am able to analyse my own motives and ways of action.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.759493671
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:42.100447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9502386997
Coefficient of variation (CV)0.2527570952
Kurtosis-0.2619512551
Mean3.759493671
Median Absolute Deviation (MAD)1
Skewness-0.41520098
Sum297
Variance0.9029535865
MonotonicityNot monotonic
2025-03-05T10:34:42.356720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 30
27.8%
3 23
21.3%
5 19
17.6%
2 6
 
5.6%
1 1
 
0.9%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 1
 
0.9%
2 6
 
5.6%
3 23
21.3%
4 30
27.8%
5 19
17.6%
ValueCountFrequency (%)
5 19
17.6%
4 30
27.8%
3 23
21.3%
2 6
 
5.6%
1 1
 
0.9%

M01_26
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often think about my own feelings and sentiments and seek reasons for them.

Distinct5
Distinct (%)6.4%
Missing30
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean3.858974359
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:42.618185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.203073542
Coefficient of variation (CV)0.3117599212
Kurtosis-0.5045675597
Mean3.858974359
Median Absolute Deviation (MAD)1
Skewness-0.7779201788
Sum301
Variance1.447385947
MonotonicityNot monotonic
2025-03-05T10:34:42.883798image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 31
28.7%
4 22
20.4%
2 11
 
10.2%
3 11
 
10.2%
1 3
 
2.8%
(Missing) 30
27.8%
ValueCountFrequency (%)
1 3
 
2.8%
2 11
 
10.2%
3 11
 
10.2%
4 22
20.4%
5 31
28.7%
ValueCountFrequency (%)
5 31
28.7%
4 22
20.4%
3 11
 
10.2%
2 11
 
10.2%
1 3
 
2.8%

M01_27
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I spend time regularly reflecting on the important issues in life.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.544303797
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:43.147018image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.238252163
Coefficient of variation (CV)0.3493640032
Kurtosis-0.6993628071
Mean3.544303797
Median Absolute Deviation (MAD)1
Skewness-0.5197977209
Sum280
Variance1.533268419
MonotonicityNot monotonic
2025-03-05T10:34:43.402845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 24
22.2%
5 21
19.4%
3 17
15.7%
2 11
 
10.2%
1 6
 
5.6%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 6
 
5.6%
2 11
10.2%
3 17
15.7%
4 24
22.2%
5 21
19.4%
ValueCountFrequency (%)
5 21
19.4%
4 24
22.2%
3 17
15.7%
2 11
10.2%
1 6
 
5.6%

M01_28
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I like to read psychological or philosophical literature to increase my self-knowledge.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean2.620253165
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:43.658873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.333049304
Coefficient of variation (CV)0.5087482852
Kurtosis-0.9473854147
Mean2.620253165
Median Absolute Deviation (MAD)1
Skewness0.434406717
Sum207
Variance1.777020448
MonotonicityNot monotonic
2025-03-05T10:34:43.916270image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 23
21.3%
1 19
17.6%
3 16
14.8%
4 11
 
10.2%
5 10
 
9.3%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 19
17.6%
2 23
21.3%
3 16
14.8%
4 11
10.2%
5 10
9.3%
ValueCountFrequency (%)
5 10
9.3%
4 11
10.2%
3 16
14.8%
2 23
21.3%
1 19
17.6%

M01_29
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I enjoy the beauty and experiences related to nature

Distinct4
Distinct (%)5.1%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean4.075949367
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:44.157012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.047244882
Coefficient of variation (CV)0.2569327506
Kurtosis-1.001941079
Mean4.075949367
Median Absolute Deviation (MAD)1
Skewness-0.6359034757
Sum322
Variance1.096721844
MonotonicityNot monotonic
2025-03-05T10:34:44.387403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 39
36.1%
3 19
17.6%
4 14
 
13.0%
2 7
 
6.5%
(Missing) 29
26.9%
ValueCountFrequency (%)
2 7
 
6.5%
3 19
17.6%
4 14
 
13.0%
5 39
36.1%
ValueCountFrequency (%)
5 39
36.1%
4 14
 
13.0%
3 19
17.6%
2 7
 
6.5%

M01_30
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Protecting the nature is important to me

Distinct4
Distinct (%)5.1%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean4.164556962
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:44.613234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9258451405
Coefficient of variation (CV)0.2223153985
Kurtosis-0.8703589854
Mean4.164556962
Median Absolute Deviation (MAD)1
Skewness-0.6357650835
Sum329
Variance0.8571892243
MonotonicityNot monotonic
2025-03-05T10:34:44.847471image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 38
35.2%
3 19
17.6%
4 19
17.6%
2 3
 
2.8%
(Missing) 29
26.9%
ValueCountFrequency (%)
2 3
 
2.8%
3 19
17.6%
4 19
17.6%
5 38
35.2%
ValueCountFrequency (%)
5 38
35.2%
4 19
17.6%
3 19
17.6%
2 3
 
2.8%

M01_31
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I pay attention to my consumption habits in order to protect environment.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.632911392
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:45.098640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9083263729
Coefficient of variation (CV)0.2500271201
Kurtosis-0.2415936933
Mean3.632911392
Median Absolute Deviation (MAD)1
Skewness-0.1442879177
Sum287
Variance0.8250567997
MonotonicityNot monotonic
2025-03-05T10:34:45.357783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 31
28.7%
4 27
25.0%
5 15
13.9%
2 5
 
4.6%
1 1
 
0.9%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 1
 
0.9%
2 5
 
4.6%
3 31
28.7%
4 27
25.0%
5 15
13.9%
ValueCountFrequency (%)
5 15
13.9%
4 27
25.0%
3 31
28.7%
2 5
 
4.6%
1 1
 
0.9%

M01_32
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In midst of busy everyday life, I find it important to contemplate.

Distinct5
Distinct (%)6.4%
Missing30
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean3.256410256
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:45.613195image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.144562497
Coefficient of variation (CV)0.351479822
Kurtosis-0.9193925373
Mean3.256410256
Median Absolute Deviation (MAD)1
Skewness-0.09697086623
Sum254
Variance1.31002331
MonotonicityNot monotonic
2025-03-05T10:34:45.863689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 23
21.3%
3 20
18.5%
2 19
17.6%
5 12
 
11.1%
1 4
 
3.7%
(Missing) 30
27.8%
ValueCountFrequency (%)
1 4
 
3.7%
2 19
17.6%
3 20
18.5%
4 23
21.3%
5 12
11.1%
ValueCountFrequency (%)
5 12
11.1%
4 23
21.3%
3 20
18.5%
2 19
17.6%
1 4
 
3.7%

M01_33
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even ordinary every-day life is full of miraculous things.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.392405063
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:46.119950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.159329177
Coefficient of variation (CV)0.341742556
Kurtosis-0.3834774012
Mean3.392405063
Median Absolute Deviation (MAD)1
Skewness-0.4658656492
Sum268
Variance1.344044142
MonotonicityNot monotonic
2025-03-05T10:34:46.385350image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 25
23.1%
3 25
23.1%
5 14
13.0%
2 8
 
7.4%
1 7
 
6.5%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 7
 
6.5%
2 8
 
7.4%
3 25
23.1%
4 25
23.1%
5 14
13.0%
ValueCountFrequency (%)
5 14
13.0%
4 25
23.1%
3 25
23.1%
2 8
 
7.4%
1 7
 
6.5%

M01_34
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often reflect on the meaning of life.

Distinct5
Distinct (%)6.4%
Missing30
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean3.525641026
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:46.637969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.336056992
Coefficient of variation (CV)0.3789543467
Kurtosis-0.8033288166
Mean3.525641026
Median Absolute Deviation (MAD)1
Skewness-0.5760573186
Sum275
Variance1.785048285
MonotonicityNot monotonic
2025-03-05T10:34:46.891787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 23
21.3%
4 22
20.4%
3 15
13.9%
1 9
 
8.3%
2 9
 
8.3%
(Missing) 30
27.8%
ValueCountFrequency (%)
1 9
 
8.3%
2 9
 
8.3%
3 15
13.9%
4 22
20.4%
5 23
21.3%
ValueCountFrequency (%)
5 23
21.3%
4 22
20.4%
3 15
13.9%
2 9
 
8.3%
1 9
 
8.3%

M01_35
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is important to me to share a quiet moment with others.

Distinct5
Distinct (%)6.3%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean3.797468354
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:47.150125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9111805084
Coefficient of variation (CV)0.2399442005
Kurtosis0.08740914433
Mean3.797468354
Median Absolute Deviation (MAD)1
Skewness-0.521547757
Sum300
Variance0.8302499189
MonotonicityNot monotonic
2025-03-05T10:34:47.409634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 34
31.5%
3 21
19.4%
5 18
16.7%
2 5
 
4.6%
1 1
 
0.9%
(Missing) 29
26.9%
ValueCountFrequency (%)
1 1
 
0.9%
2 5
 
4.6%
3 21
19.4%
4 34
31.5%
5 18
16.7%
ValueCountFrequency (%)
5 18
16.7%
4 34
31.5%
3 21
19.4%
2 5
 
4.6%
1 1
 
0.9%

F01_1
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Thinking up new ideas and being creative is important to them. They like to do things in their own original way

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.512195122
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:47.669810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2.5
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.135769739
Coefficient of variation (CV)0.4521025174
Kurtosis-0.07375600464
Mean2.512195122
Median Absolute Deviation (MAD)0.5
Skewness0.435544155
Sum206
Variance1.2899729
MonotonicityNot monotonic
2025-03-05T10:34:47.916367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 26
24.1%
2 23
21.3%
1 18
16.7%
4 12
11.1%
5 2
 
1.9%
6 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 18
16.7%
2 23
21.3%
3 26
24.1%
4 12
11.1%
5 2
 
1.9%
ValueCountFrequency (%)
6 1
 
0.9%
5 2
 
1.9%
4 12
11.1%
3 26
24.1%
2 23
21.3%

F01_2
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be rich. They want to have a lot of money and expensive things

Distinct7
Distinct (%)8.5%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean4.414634146
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:48.138595image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.396213747
Coefficient of variation (CV)0.3162694123
Kurtosis-0.2295650432
Mean4.414634146
Median Absolute Deviation (MAD)1
Skewness-0.3080620591
Sum362
Variance1.949412827
MonotonicityNot monotonic
2025-03-05T10:34:48.374658image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 22
20.4%
6 21
19.4%
5 18
16.7%
3 12
11.1%
2 6
 
5.6%
1 2
 
1.9%
8 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 2
 
1.9%
2 6
 
5.6%
3 12
11.1%
4 22
20.4%
5 18
16.7%
ValueCountFrequency (%)
8 1
 
0.9%
6 21
19.4%
5 18
16.7%
4 22
20.4%
3 12
11.1%

F01_3
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean1.87804878
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:48.616112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.33694182
Coefficient of variation (CV)0.7118781119
Kurtosis9.46297763
Mean1.87804878
Median Absolute Deviation (MAD)0.5
Skewness2.706585874
Sum154
Variance1.78741343
MonotonicityNot monotonic
2025-03-05T10:34:48.863992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 41
38.0%
2 26
24.1%
3 8
 
7.4%
4 4
 
3.7%
8 2
 
1.9%
5 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 41
38.0%
2 26
24.1%
3 8
 
7.4%
4 4
 
3.7%
5 1
 
0.9%
ValueCountFrequency (%)
8 2
 
1.9%
5 1
 
0.9%
4 4
 
3.7%
3 8
 
7.4%
2 26
24.1%

F01_4
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to show their abilities. They want people to admire what he does

Distinct7
Distinct (%)8.6%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean3.135802469
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:49.115838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.429624832
Coefficient of variation (CV)0.4559039819
Kurtosis0.793020543
Mean3.135802469
Median Absolute Deviation (MAD)1
Skewness0.7026183589
Sum254
Variance2.04382716
MonotonicityNot monotonic
2025-03-05T10:34:49.368793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 28
25.9%
2 16
14.8%
4 15
13.9%
1 10
 
9.3%
5 6
 
5.6%
6 5
 
4.6%
8 1
 
0.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 10
 
9.3%
2 16
14.8%
3 28
25.9%
4 15
13.9%
5 6
 
5.6%
ValueCountFrequency (%)
8 1
 
0.9%
6 5
 
4.6%
5 6
 
5.6%
4 15
13.9%
3 28
25.9%

F01_5
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety

Distinct7
Distinct (%)8.5%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.036585366
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:49.614588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5.95
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.613562288
Coefficient of variation (CV)0.5313739263
Kurtosis1.449933365
Mean3.036585366
Median Absolute Deviation (MAD)1
Skewness1.114055098
Sum249
Variance2.603583258
MonotonicityNot monotonic
2025-03-05T10:34:49.855811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 27
25.0%
3 16
14.8%
4 15
13.9%
1 11
10.2%
5 8
 
7.4%
8 3
 
2.8%
6 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 11
10.2%
2 27
25.0%
3 16
14.8%
4 15
13.9%
5 8
 
7.4%
ValueCountFrequency (%)
8 3
 
2.8%
6 2
 
1.9%
5 8
7.4%
4 15
13.9%
3 16
14.8%

F01_6
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to do lots of different things in life. They always look for new things to try

Distinct5
Distinct (%)6.1%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.207317073
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:50.109327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.039204407
Coefficient of variation (CV)0.4707997866
Kurtosis-0.500707677
Mean2.207317073
Median Absolute Deviation (MAD)1
Skewness0.584790088
Sum181
Variance1.079945799
MonotonicityNot monotonic
2025-03-05T10:34:50.365515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 32
29.6%
1 23
21.3%
3 15
13.9%
4 11
 
10.2%
5 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 23
21.3%
2 32
29.6%
3 15
13.9%
4 11
 
10.2%
5 1
 
0.9%
ValueCountFrequency (%)
5 1
 
0.9%
4 11
 
10.2%
3 15
13.9%
2 32
29.6%
1 23
21.3%

F01_7
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching

Distinct8
Distinct (%)9.8%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.804878049
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:50.618492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.05
Q12.25
median4
Q35
95-th percentile6.95
Maximum8
Range7
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.702859066
Coefficient of variation (CV)0.4475462929
Kurtosis-0.2076745822
Mean3.804878049
Median Absolute Deviation (MAD)1
Skewness0.4666697986
Sum312
Variance2.899728997
MonotonicityNot monotonic
2025-03-05T10:34:50.869709image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 17
15.7%
3 17
15.7%
2 16
14.8%
5 14
13.0%
6 8
 
7.4%
1 5
 
4.6%
8 3
 
2.8%
7 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 5
 
4.6%
2 16
14.8%
3 17
15.7%
4 17
15.7%
5 14
13.0%
ValueCountFrequency (%)
8 3
 
2.8%
7 2
 
1.9%
6 8
7.4%
5 14
13.0%
4 17
15.7%

F01_8
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them

Distinct5
Distinct (%)6.1%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.292682927
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:51.132235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.071376234
Coefficient of variation (CV)0.4673023998
Kurtosis-0.4501298128
Mean2.292682927
Median Absolute Deviation (MAD)1
Skewness0.5588153351
Sum188
Variance1.147847034
MonotonicityNot monotonic
2025-03-05T10:34:51.390656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 31
28.7%
1 21
19.4%
3 17
15.7%
4 11
 
10.2%
5 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 21
19.4%
2 31
28.7%
3 17
15.7%
4 11
 
10.2%
5 2
 
1.9%
ValueCountFrequency (%)
5 2
 
1.9%
4 11
 
10.2%
3 17
15.7%
2 31
28.7%
1 21
19.4%

F01_9
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have

Distinct8
Distinct (%)9.8%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.890243902
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:51.650096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.763876886
Coefficient of variation (CV)0.4534103594
Kurtosis-0.2099183837
Mean3.890243902
Median Absolute Deviation (MAD)1
Skewness0.4198706012
Sum319
Variance3.111261668
MonotonicityNot monotonic
2025-03-05T10:34:51.906643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 19
17.6%
3 15
13.9%
5 14
13.0%
2 14
13.0%
6 8
 
7.4%
1 6
 
5.6%
8 4
 
3.7%
7 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 6
 
5.6%
2 14
13.0%
3 15
13.9%
4 19
17.6%
5 14
13.0%
ValueCountFrequency (%)
8 4
 
3.7%
7 2
 
1.9%
6 8
7.4%
5 14
13.0%
4 19
17.6%

F01_10
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They seek every chance he can to have fun. It is important to them to do things that give them pleasure

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.731707317
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:52.168596image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.176401507
Coefficient of variation (CV)0.4306469803
Kurtosis0.2181731262
Mean2.731707317
Median Absolute Deviation (MAD)1
Skewness0.5426003988
Sum224
Variance1.383920506
MonotonicityNot monotonic
2025-03-05T10:34:52.420034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 28
25.9%
2 24
22.2%
4 12
11.1%
1 12
11.1%
5 4
 
3.7%
6 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 12
11.1%
2 24
22.2%
3 28
25.9%
4 12
11.1%
5 4
 
3.7%
ValueCountFrequency (%)
6 2
 
1.9%
5 4
 
3.7%
4 12
11.1%
3 28
25.9%
2 24
22.2%

F01_11
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself

Distinct5
Distinct (%)6.1%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.06097561
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:52.638039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.95
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.289535862
Coefficient of variation (CV)0.6256919569
Kurtosis9.318656271
Mean2.06097561
Median Absolute Deviation (MAD)1
Skewness2.468710146
Sum169
Variance1.66290274
MonotonicityNot monotonic
2025-03-05T10:34:52.880572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 32
29.6%
2 26
24.1%
3 19
17.6%
4 3
 
2.8%
8 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 32
29.6%
2 26
24.1%
3 19
17.6%
4 3
 
2.8%
8 2
 
1.9%
ValueCountFrequency (%)
8 2
 
1.9%
4 3
 
2.8%
3 19
17.6%
2 26
24.1%
1 32
29.6%

F01_12
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to help the people around them. They want to care for other people

Distinct7
Distinct (%)8.6%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2.24691358
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:53.120384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.219947378
Coefficient of variation (CV)0.5429436133
Kurtosis5.806633688
Mean2.24691358
Median Absolute Deviation (MAD)1
Skewness1.839488432
Sum182
Variance1.488271605
MonotonicityNot monotonic
2025-03-05T10:34:53.370976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 33
30.6%
1 22
20.4%
3 17
15.7%
4 6
 
5.6%
8 1
 
0.9%
5 1
 
0.9%
6 1
 
0.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 22
20.4%
2 33
30.6%
3 17
15.7%
4 6
 
5.6%
5 1
 
0.9%
ValueCountFrequency (%)
8 1
 
0.9%
6 1
 
0.9%
5 1
 
0.9%
4 6
 
5.6%
3 17
15.7%

F01_13
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Being very successful is important to them. They like to impress other people

Distinct8
Distinct (%)9.8%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.353658537
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:53.614643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.526489972
Coefficient of variation (CV)0.4551715553
Kurtosis0.09252889893
Mean3.353658537
Median Absolute Deviation (MAD)1
Skewness0.6799288902
Sum275
Variance2.330171635
MonotonicityNot monotonic
2025-03-05T10:34:53.853988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 23
21.3%
2 21
19.4%
4 14
13.0%
5 9
 
8.3%
6 7
 
6.5%
1 6
 
5.6%
7 1
 
0.9%
8 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 6
 
5.6%
2 21
19.4%
3 23
21.3%
4 14
13.0%
5 9
 
8.3%
ValueCountFrequency (%)
8 1
 
0.9%
7 1
 
0.9%
6 7
6.5%
5 9
8.3%
4 14
13.0%

F01_14
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without

Distinct8
Distinct (%)9.8%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.731707317
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:54.090153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.036995976
Coefficient of variation (CV)0.5458616667
Kurtosis-0.2214471087
Mean3.731707317
Median Absolute Deviation (MAD)1
Skewness0.7337600078
Sum306
Variance4.149352605
MonotonicityNot monotonic
2025-03-05T10:34:54.330707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 20
18.5%
4 16
14.8%
2 14
13.0%
1 10
 
9.3%
8 8
 
7.4%
5 6
 
5.6%
6 6
 
5.6%
7 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 10
9.3%
2 14
13.0%
3 20
18.5%
4 16
14.8%
5 6
 
5.6%
ValueCountFrequency (%)
8 8
7.4%
7 2
 
1.9%
6 6
 
5.6%
5 6
 
5.6%
4 16
14.8%

F01_15
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like to take risks. They are always looking for adventures

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.780487805
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:54.573251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile6
Maximum8
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.237524313
Coefficient of variation (CV)0.3273451409
Kurtosis0.5685035899
Mean3.780487805
Median Absolute Deviation (MAD)1
Skewness0.5912966681
Sum310
Variance1.531466426
MonotonicityNot monotonic
2025-03-05T10:34:54.811028image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 29
26.9%
3 21
19.4%
2 13
12.0%
5 11
 
10.2%
6 7
 
6.5%
8 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
2 13
12.0%
3 21
19.4%
4 29
26.9%
5 11
 
10.2%
6 7
 
6.5%
ValueCountFrequency (%)
8 1
 
0.9%
6 7
 
6.5%
5 11
 
10.2%
4 29
26.9%
3 21
19.4%

F01_16
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong

Distinct8
Distinct (%)9.8%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.914634146
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:55.052786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.541213403
Coefficient of variation (CV)0.5287845148
Kurtosis0.5160066101
Mean2.914634146
Median Absolute Deviation (MAD)1
Skewness0.8514490509
Sum239
Variance2.375338753
MonotonicityNot monotonic
2025-03-05T10:34:55.295781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 26
24.1%
3 16
14.8%
1 14
13.0%
4 12
11.1%
5 10
 
9.3%
6 2
 
1.9%
7 1
 
0.9%
8 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 14
13.0%
2 26
24.1%
3 16
14.8%
4 12
11.1%
5 10
 
9.3%
ValueCountFrequency (%)
8 1
 
0.9%
7 1
 
0.9%
6 2
 
1.9%
5 10
9.3%
4 12
11.1%

F01_17
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be in charge and tell others what to do. They want people to do what he says

Distinct7
Distinct (%)8.5%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.743902439
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:55.532716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34.75
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.521946249
Coefficient of variation (CV)0.4065133304
Kurtosis0.6379133428
Mean3.743902439
Median Absolute Deviation (MAD)1
Skewness0.7269782622
Sum307
Variance2.316320385
MonotonicityNot monotonic
2025-03-05T10:34:55.771033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 24
22.2%
4 21
19.4%
2 13
12.0%
5 10
 
9.3%
6 8
 
7.4%
1 3
 
2.8%
8 3
 
2.8%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 3
 
2.8%
2 13
12.0%
3 24
22.2%
4 21
19.4%
5 10
9.3%
ValueCountFrequency (%)
8 3
 
2.8%
6 8
 
7.4%
5 10
9.3%
4 21
19.4%
3 24
22.2%

F01_18
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be loyal to their friends. They want to devote themself to people close to them

Distinct5
Distinct (%)6.1%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean1.707317073
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:56.025488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9227950681
Coefficient of variation (CV)0.5404942542
Kurtosis4.483926443
Mean1.707317073
Median Absolute Deviation (MAD)0
Skewness1.684756826
Sum140
Variance0.8515507377
MonotonicityNot monotonic
2025-03-05T10:34:56.258987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 43
39.8%
2 24
22.2%
3 13
 
12.0%
6 1
 
0.9%
4 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 43
39.8%
2 24
22.2%
3 13
 
12.0%
4 1
 
0.9%
6 1
 
0.9%
ValueCountFrequency (%)
6 1
 
0.9%
4 1
 
0.9%
3 13
 
12.0%
2 24
22.2%
1 43
39.8%

F01_19
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They strongly believe that people should care for nature. Looking after the environment is important to them

Distinct4
Distinct (%)4.9%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean1.780487805
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:56.473715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3.95
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8892275778
Coefficient of variation (CV)0.4994291875
Kurtosis0.2372896144
Mean1.780487805
Median Absolute Deviation (MAD)1
Skewness0.990659282
Sum146
Variance0.790725685
MonotonicityNot monotonic
2025-03-05T10:34:56.710235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 38
35.2%
2 29
26.9%
3 10
 
9.3%
4 5
 
4.6%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 38
35.2%
2 29
26.9%
3 10
 
9.3%
4 5
 
4.6%
ValueCountFrequency (%)
4 5
 
4.6%
3 10
 
9.3%
2 29
26.9%
1 38
35.2%

F01_20
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Religious belief is important to them. They try hard to do what their religion requires

Distinct8
Distinct (%)9.8%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean5.182926829
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:56.957685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.60345344
Coefficient of variation (CV)0.309372193
Kurtosis0.55129165
Mean5.182926829
Median Absolute Deviation (MAD)1
Skewness-0.8956502012
Sum425
Variance2.571062933
MonotonicityNot monotonic
2025-03-05T10:34:57.232885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 37
34.3%
5 16
14.8%
3 7
 
6.5%
4 6
 
5.6%
7 5
 
4.6%
2 4
 
3.7%
8 4
 
3.7%
1 3
 
2.8%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 3
 
2.8%
2 4
 
3.7%
3 7
6.5%
4 6
 
5.6%
5 16
14.8%
ValueCountFrequency (%)
8 4
 
3.7%
7 5
 
4.6%
6 37
34.3%
5 16
14.8%
4 6
 
5.6%

F01_21
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them that things be organized and clean. They do not want things to be a mess

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.414634146
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:57.480939image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.95
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.226771528
Coefficient of variation (CV)0.5080568956
Kurtosis-0.1534061037
Mean2.414634146
Median Absolute Deviation (MAD)1
Skewness0.6752613158
Sum198
Variance1.504968383
MonotonicityNot monotonic
2025-03-05T10:34:57.721459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 26
24.1%
1 22
20.4%
3 18
16.7%
4 11
10.2%
5 4
 
3.7%
6 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 22
20.4%
2 26
24.1%
3 18
16.7%
4 11
10.2%
5 4
 
3.7%
ValueCountFrequency (%)
6 1
 
0.9%
5 4
 
3.7%
4 11
10.2%
3 18
16.7%
2 26
24.1%

F01_22
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things

Distinct6
Distinct (%)7.4%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.888888889
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:57.941743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.129158979
Coefficient of variation (CV)0.5977900477
Kurtosis9.912762936
Mean1.888888889
Median Absolute Deviation (MAD)1
Skewness2.413514878
Sum153
Variance1.275
MonotonicityNot monotonic
2025-03-05T10:34:58.182163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 36
33.3%
2 27
25.0%
3 14
 
13.0%
4 2
 
1.9%
8 1
 
0.9%
5 1
 
0.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 36
33.3%
2 27
25.0%
3 14
 
13.0%
4 2
 
1.9%
5 1
 
0.9%
ValueCountFrequency (%)
8 1
 
0.9%
5 1
 
0.9%
4 2
 
1.9%
3 14
13.0%
2 27
25.0%

F01_23
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them

Distinct6
Distinct (%)7.4%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2.086419753
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:58.428666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.195800264
Coefficient of variation (CV)0.5731350378
Kurtosis0.8218287396
Mean2.086419753
Median Absolute Deviation (MAD)1
Skewness1.133969801
Sum169
Variance1.429938272
MonotonicityNot monotonic
2025-03-05T10:34:58.670102image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 32
29.6%
2 26
24.1%
3 12
 
11.1%
4 7
 
6.5%
5 3
 
2.8%
6 1
 
0.9%
(Missing) 27
25.0%
ValueCountFrequency (%)
1 32
29.6%
2 26
24.1%
3 12
 
11.1%
4 7
 
6.5%
5 3
 
2.8%
ValueCountFrequency (%)
6 1
 
0.9%
5 3
 
2.8%
4 7
 
6.5%
3 12
11.1%
2 26
24.1%

F01_24
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be ambitious. They want to show how capable he is

Distinct7
Distinct (%)8.5%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.682926829
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:58.911197image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5.95
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.50618518
Coefficient of variation (CV)0.5613962944
Kurtosis2.546862893
Mean2.682926829
Median Absolute Deviation (MAD)1
Skewness1.294000591
Sum220
Variance2.268593797
MonotonicityNot monotonic
2025-03-05T10:34:59.151453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 25
23.1%
1 20
18.5%
2 19
17.6%
4 12
11.1%
6 3
 
2.8%
8 2
 
1.9%
5 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 20
18.5%
2 19
17.6%
3 25
23.1%
4 12
11.1%
5 1
 
0.9%
ValueCountFrequency (%)
8 2
 
1.9%
6 3
 
2.8%
5 1
 
0.9%
4 12
11.1%
3 25
23.1%

F01_25
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean4.097560976
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:59.385706image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum8
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.223330367
Coefficient of variation (CV)0.2985508635
Kurtosis0.2022107779
Mean4.097560976
Median Absolute Deviation (MAD)1
Skewness0.4316234786
Sum336
Variance1.496537188
MonotonicityNot monotonic
2025-03-05T10:34:59.632600image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 32
29.6%
3 18
16.7%
5 12
 
11.1%
6 12
 
11.1%
2 7
 
6.5%
8 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
2 7
 
6.5%
3 18
16.7%
4 32
29.6%
5 12
 
11.1%
6 12
 
11.1%
ValueCountFrequency (%)
8 1
 
0.9%
6 12
 
11.1%
5 12
 
11.1%
4 32
29.6%
3 18
16.7%

F01_26
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Enjoying life's pleasures is important to them. They like to 'spoil' themself

Distinct7
Distinct (%)8.5%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.37804878
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:34:59.864930image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median3.5
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.437077314
Coefficient of variation (CV)0.4254163891
Kurtosis0.230952041
Mean3.37804878
Median Absolute Deviation (MAD)0.5
Skewness0.1485892919
Sum277
Variance2.065191207
MonotonicityNot monotonic
2025-03-05T10:35:00.122324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 25
23.1%
3 20
18.5%
5 12
11.1%
1 11
10.2%
2 10
 
9.3%
6 3
 
2.8%
8 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 11
10.2%
2 10
 
9.3%
3 20
18.5%
4 25
23.1%
5 12
11.1%
ValueCountFrequency (%)
8 1
 
0.9%
6 3
 
2.8%
5 12
11.1%
4 25
23.1%
3 20
18.5%

F01_27
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to respond to the needs of others. They try to support those he knows

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.280487805
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:00.374049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.168246446
Coefficient of variation (CV)0.5122791903
Kurtosis1.291578577
Mean2.280487805
Median Absolute Deviation (MAD)1
Skewness1.096584616
Sum187
Variance1.364799759
MonotonicityNot monotonic
2025-03-05T10:35:00.619218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 32
29.6%
1 22
20.4%
3 17
15.7%
4 7
 
6.5%
6 2
 
1.9%
5 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 22
20.4%
2 32
29.6%
3 17
15.7%
4 7
 
6.5%
5 2
 
1.9%
ValueCountFrequency (%)
6 2
 
1.9%
5 2
 
1.9%
4 7
 
6.5%
3 17
15.7%
2 32
29.6%

F01_28
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be obedient. They believe he should always show respect to their parents and to older people

Distinct7
Distinct (%)8.5%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.207317073
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:00.855066image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.437915199
Coefficient of variation (CV)0.4483233701
Kurtosis0.7005820418
Mean3.207317073
Median Absolute Deviation (MAD)1
Skewness0.8261934142
Sum263
Variance2.06760012
MonotonicityNot monotonic
2025-03-05T10:35:01.120588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 30
27.8%
2 19
17.6%
4 12
 
11.1%
6 7
 
6.5%
1 7
 
6.5%
5 6
 
5.6%
8 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 7
 
6.5%
2 19
17.6%
3 30
27.8%
4 12
 
11.1%
5 6
 
5.6%
ValueCountFrequency (%)
8 1
 
0.9%
6 7
 
6.5%
5 6
 
5.6%
4 12
 
11.1%
3 30
27.8%

F01_29
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society

Distinct5
Distinct (%)6.1%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean1.890243902
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:01.370204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.75
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.054163966
Coefficient of variation (CV)0.5576867435
Kurtosis0.4581526139
Mean1.890243902
Median Absolute Deviation (MAD)1
Skewness1.066685536
Sum155
Variance1.111261668
MonotonicityNot monotonic
2025-03-05T10:35:01.620771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 39
36.1%
2 22
20.4%
3 14
 
13.0%
4 5
 
4.6%
5 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 39
36.1%
2 22
20.4%
3 14
 
13.0%
4 5
 
4.6%
5 2
 
1.9%
ValueCountFrequency (%)
5 2
 
1.9%
4 5
 
4.6%
3 14
 
13.0%
2 22
20.4%
1 39
36.1%

F01_30
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like surprises. It is important to them to have an exciting life

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.024390244
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:01.869398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.655336374
Coefficient of variation (CV)0.5473289625
Kurtosis-1.089820711
Mean3.024390244
Median Absolute Deviation (MAD)1
Skewness0.3954841752
Sum248
Variance2.740138512
MonotonicityNot monotonic
2025-03-05T10:35:02.114684image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 20
18.5%
1 18
16.7%
3 14
13.0%
5 12
11.1%
4 10
 
9.3%
6 8
 
7.4%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 18
16.7%
2 20
18.5%
3 14
13.0%
4 10
9.3%
5 12
11.1%
ValueCountFrequency (%)
6 8
 
7.4%
5 12
11.1%
4 10
9.3%
3 14
13.0%
2 20
18.5%

F01_31
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They try hard to avoid getting sick. Staying healthy is very important to them

Distinct8
Distinct (%)9.8%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.682926829
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:02.334458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.578231928
Coefficient of variation (CV)0.5882500823
Kurtosis2.115259092
Mean2.682926829
Median Absolute Deviation (MAD)1
Skewness1.373011514
Sum220
Variance2.490816019
MonotonicityNot monotonic
2025-03-05T10:35:02.582290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 28
25.9%
3 18
16.7%
1 18
16.7%
5 7
 
6.5%
4 7
 
6.5%
8 2
 
1.9%
7 1
 
0.9%
6 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 18
16.7%
2 28
25.9%
3 18
16.7%
4 7
 
6.5%
5 7
 
6.5%
ValueCountFrequency (%)
8 2
 
1.9%
7 1
 
0.9%
6 1
 
0.9%
5 7
6.5%
4 7
6.5%

F01_32
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Getting ahead in life is important to them. They strive to do better than others

Distinct7
Distinct (%)8.5%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.817073171
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:02.819654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.458293005
Coefficient of variation (CV)0.517662452
Kurtosis2.476167235
Mean2.817073171
Median Absolute Deviation (MAD)1
Skewness1.256901711
Sum231
Variance2.126618488
MonotonicityNot monotonic
2025-03-05T10:35:03.066590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 27
25.0%
3 19
17.6%
4 16
14.8%
1 13
12.0%
5 3
 
2.8%
6 2
 
1.9%
8 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 13
12.0%
2 27
25.0%
3 19
17.6%
4 16
14.8%
5 3
 
2.8%
ValueCountFrequency (%)
8 2
 
1.9%
6 2
 
1.9%
5 3
 
2.8%
4 16
14.8%
3 19
17.6%

F01_33
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge

Distinct8
Distinct (%)9.8%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.219512195
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:03.324996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.640719432
Coefficient of variation (CV)0.5096173992
Kurtosis-0.2229010542
Mean3.219512195
Median Absolute Deviation (MAD)1
Skewness0.583155952
Sum264
Variance2.691960253
MonotonicityNot monotonic
2025-03-05T10:35:03.561704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 20
18.5%
3 18
16.7%
4 14
13.0%
1 12
11.1%
5 9
 
8.3%
6 7
 
6.5%
7 1
 
0.9%
8 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 12
11.1%
2 20
18.5%
3 18
16.7%
4 14
13.0%
5 9
8.3%
ValueCountFrequency (%)
8 1
 
0.9%
7 1
 
0.9%
6 7
6.5%
5 9
8.3%
4 14
13.0%

F01_34
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be independent. They like to rely on themself

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean1.853658537
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:03.789183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.112465299
Coefficient of variation (CV)0.6001457536
Kurtosis5.269412009
Mean1.853658537
Median Absolute Deviation (MAD)1
Skewness1.895868206
Sum152
Variance1.237579042
MonotonicityNot monotonic
2025-03-05T10:35:04.008957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 40
37.0%
2 23
21.3%
3 15
 
13.9%
5 2
 
1.9%
4 1
 
0.9%
7 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 40
37.0%
2 23
21.3%
3 15
 
13.9%
4 1
 
0.9%
5 2
 
1.9%
ValueCountFrequency (%)
7 1
 
0.9%
5 2
 
1.9%
4 1
 
0.9%
3 15
13.9%
2 23
21.3%

F01_35
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Having a stable government is important to them. They are concerned that the social order be protected

Distinct8
Distinct (%)9.8%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.451219512
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:04.235680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.931879652
Coefficient of variation (CV)0.5597672489
Kurtosis-0.07484633622
Mean3.451219512
Median Absolute Deviation (MAD)1
Skewness0.9236132133
Sum283
Variance3.732158988
MonotonicityNot monotonic
2025-03-05T10:35:04.488660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 24
22.2%
3 21
19.4%
4 9
 
8.3%
1 8
 
7.4%
6 6
 
5.6%
5 5
 
4.6%
7 5
 
4.6%
8 4
 
3.7%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 8
 
7.4%
2 24
22.2%
3 21
19.4%
4 9
 
8.3%
5 5
 
4.6%
ValueCountFrequency (%)
8 4
3.7%
7 5
4.6%
6 6
5.6%
5 5
4.6%
4 9
8.3%

F01_36
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.012195122
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:04.742452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.138483965
Coefficient of variation (CV)0.5657920312
Kurtosis2.585591828
Mean2.012195122
Median Absolute Deviation (MAD)1
Skewness1.519220825
Sum165
Variance1.296145739
MonotonicityNot monotonic
2025-03-05T10:35:04.997934image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 33
30.6%
1 31
28.7%
3 9
 
8.3%
4 6
 
5.6%
6 2
 
1.9%
5 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 31
28.7%
2 33
30.6%
3 9
 
8.3%
4 6
 
5.6%
5 1
 
0.9%
ValueCountFrequency (%)
6 2
 
1.9%
5 1
 
0.9%
4 6
 
5.6%
3 9
 
8.3%
2 33
30.6%

F01_37
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They really want to enjoy life. Having a good time is very important to them

Distinct7
Distinct (%)8.5%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.853658537
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:05.224930image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.397722585
Coefficient of variation (CV)0.4898002222
Kurtosis0.06097712501
Mean2.853658537
Median Absolute Deviation (MAD)1
Skewness0.6011959653
Sum234
Variance1.953628425
MonotonicityNot monotonic
2025-03-05T10:35:05.446718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 21
19.4%
3 21
19.4%
4 16
14.8%
1 15
13.9%
5 5
 
4.6%
6 3
 
2.8%
7 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 15
13.9%
2 21
19.4%
3 21
19.4%
4 16
14.8%
5 5
 
4.6%
ValueCountFrequency (%)
7 1
 
0.9%
6 3
 
2.8%
5 5
 
4.6%
4 16
14.8%
3 21
19.4%

F01_38
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be humble and modest. They try not to draw to themself

Distinct7
Distinct (%)8.5%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.573170732
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:05.672046image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.396914482
Coefficient of variation (CV)0.542876718
Kurtosis2.016691527
Mean2.573170732
Median Absolute Deviation (MAD)1
Skewness1.196642422
Sum211
Variance1.951370069
MonotonicityNot monotonic
2025-03-05T10:35:05.910295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 26
24.1%
3 21
19.4%
1 19
17.6%
4 8
 
7.4%
5 5
 
4.6%
6 2
 
1.9%
8 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 19
17.6%
2 26
24.1%
3 21
19.4%
4 8
 
7.4%
5 5
 
4.6%
ValueCountFrequency (%)
8 1
 
0.9%
6 2
 
1.9%
5 5
 
4.6%
4 8
 
7.4%
3 21
19.4%

F01_39
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They always want to be the one who makes the decisions. They like to be the leader

Distinct7
Distinct (%)8.5%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.43902439
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:06.141337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.449542806
Coefficient of variation (CV)0.4214982626
Kurtosis-0.2091926167
Mean3.43902439
Median Absolute Deviation (MAD)1
Skewness0.2114848342
Sum282
Variance2.101174345
MonotonicityNot monotonic
2025-03-05T10:35:06.362237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 23
21.3%
4 22
20.4%
2 11
10.2%
5 10
 
9.3%
1 9
 
8.3%
6 5
 
4.6%
7 2
 
1.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 9
 
8.3%
2 11
10.2%
3 23
21.3%
4 22
20.4%
5 10
9.3%
ValueCountFrequency (%)
7 2
 
1.9%
6 5
 
4.6%
5 10
9.3%
4 22
20.4%
3 23
21.3%

F01_40
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature

Distinct6
Distinct (%)7.3%
Missing26
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.817073171
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:06.592098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.208284661
Coefficient of variation (CV)0.4289149013
Kurtosis-0.4417313502
Mean2.817073171
Median Absolute Deviation (MAD)1
Skewness0.1893701396
Sum231
Variance1.459951822
MonotonicityNot monotonic
2025-03-05T10:35:06.834252image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 29
26.9%
2 17
15.7%
4 15
13.9%
1 14
13.0%
5 6
 
5.6%
6 1
 
0.9%
(Missing) 26
24.1%
ValueCountFrequency (%)
1 14
13.0%
2 17
15.7%
3 29
26.9%
4 15
13.9%
5 6
 
5.6%
ValueCountFrequency (%)
6 1
 
0.9%
5 6
 
5.6%
4 15
13.9%
3 29
26.9%
2 17
15.7%

interviewtime
Real number (ℝ)

Zeros 

interviewtime

Distinct101
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1282.707593
Minimum0
Maximum17401.6
Zeros8
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:07.123968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1531.905
median879.445
Q31174.55
95-th percentile3176.6275
Maximum17401.6
Range17401.6
Interquartile range (IQR)642.645

Descriptive statistics

Standard deviation2269.780234
Coefficient of variation (CV)1.769522724
Kurtosis28.8027585
Mean1282.707593
Median Absolute Deviation (MAD)311.03
Skewness5.016607814
Sum138532.42
Variance5151902.31
MonotonicityNot monotonic
2025-03-05T10:35:07.452580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
7.4%
688.82 1
 
0.9%
777.51 1
 
0.9%
1028.78 1
 
0.9%
1095.07 1
 
0.9%
9774.17 1
 
0.9%
49.28 1
 
0.9%
703.57 1
 
0.9%
2129.07 1
 
0.9%
1031.58 1
 
0.9%
Other values (91) 91
84.3%
ValueCountFrequency (%)
0.0 8
7.4%
7.49 1
 
0.9%
8.4 1
 
0.9%
8.73 1
 
0.9%
10.61 1
 
0.9%
ValueCountFrequency (%)
17401.6 1
0.9%
11405.7 1
0.9%
9774.17 1
0.9%
8129.69 1
0.9%
4683.67 1
0.9%

GT_A00
Real number (ℝ)

Missing 

nan

Distinct98
Distinct (%)98.0%
Missing8
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean14.6552
Minimum5.31
Maximum145.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:07.790545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.31
5-th percentile6.4835
Q18.61
median10.455
Q314.3675
95-th percentile31.661
Maximum145.6
Range140.29
Interquartile range (IQR)5.7575

Descriptive statistics

Standard deviation16.57826108
Coefficient of variation (CV)1.131220391
Kurtosis41.67818461
Mean14.6552
Median Absolute Deviation (MAD)2.29
Skewness5.882112911
Sum1465.52
Variance274.8387404
MonotonicityNot monotonic
2025-03-05T10:35:08.130201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.38 2
 
1.9%
8.4 2
 
1.9%
10.61 1
 
0.9%
12.06 1
 
0.9%
8.99 1
 
0.9%
16.45 1
 
0.9%
13.05 1
 
0.9%
9.71 1
 
0.9%
13.17 1
 
0.9%
6.8 1
 
0.9%
Other values (88) 88
81.5%
(Missing) 8
 
7.4%
ValueCountFrequency (%)
5.31 1
0.9%
5.38 1
0.9%
5.96 1
0.9%
6.15 1
0.9%
6.36 1
0.9%
ValueCountFrequency (%)
145.6 1
0.9%
80.13 1
0.9%
51.25 1
0.9%
39.68 1
0.9%
37.19 1
0.9%

GT_A01
Real number (ℝ)

Missing 

nan

Distinct93
Distinct (%)98.9%
Missing14
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean48.91744681
Minimum14.15
Maximum353.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:08.462766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum14.15
5-th percentile24.8745
Q132.3775
median39.73
Q348.3925
95-th percentile86.294
Maximum353.65
Range339.5
Interquartile range (IQR)16.015

Descriptive statistics

Standard deviation43.37721665
Coefficient of variation (CV)0.8867432682
Kurtosis33.90236753
Mean48.91744681
Median Absolute Deviation (MAD)7.91
Skewness5.464714677
Sum4598.24
Variance1881.582925
MonotonicityNot monotonic
2025-03-05T10:35:08.792976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.53 2
 
1.9%
32.33 1
 
0.9%
43.46 1
 
0.9%
36.23 1
 
0.9%
27.97 1
 
0.9%
46.62 1
 
0.9%
63.93 1
 
0.9%
51.01 1
 
0.9%
34.46 1
 
0.9%
30.51 1
 
0.9%
Other values (83) 83
76.9%
(Missing) 14
 
13.0%
ValueCountFrequency (%)
14.15 1
0.9%
22.99 1
0.9%
23.53 1
0.9%
24.69 1
0.9%
24.79 1
0.9%
ValueCountFrequency (%)
353.65 1
0.9%
278.24 1
0.9%
103.51 1
0.9%
103.29 1
0.9%
90.74 1
0.9%

GT_R
Real number (ℝ)

Missing 

nan

Distinct90
Distinct (%)98.9%
Missing17
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean20.72725275
Minimum5.06
Maximum235.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:09.123266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.06
5-th percentile7.475
Q111.385
median15.63
Q321.82
95-th percentile39.325
Maximum235.9
Range230.84
Interquartile range (IQR)10.435

Descriptive statistics

Standard deviation25.57980571
Coefficient of variation (CV)1.234114623
Kurtosis56.85644841
Mean20.72725275
Median Absolute Deviation (MAD)4.89
Skewness6.956314065
Sum1886.18
Variance654.3264601
MonotonicityNot monotonic
2025-03-05T10:35:09.453185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.24 2
 
1.9%
235.9 1
 
0.9%
10.74 1
 
0.9%
80.17 1
 
0.9%
10.69 1
 
0.9%
18.72 1
 
0.9%
7.87 1
 
0.9%
36.19 1
 
0.9%
9.64 1
 
0.9%
10.37 1
 
0.9%
Other values (80) 80
74.1%
(Missing) 17
 
15.7%
ValueCountFrequency (%)
5.06 1
0.9%
5.66 1
0.9%
6.27 1
0.9%
6.84 1
0.9%
7.36 1
0.9%
ValueCountFrequency (%)
235.9 1
0.9%
80.17 1
0.9%
65.71 1
0.9%
40.77 1
0.9%
39.57 1
0.9%

GT_B
Real number (ℝ)

Missing 

nan

Distinct88
Distinct (%)98.9%
Missing19
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean122.6955056
Minimum42.13
Maximum1545.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:09.758147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum42.13
5-th percentile54.718
Q168.46
median89.1
Q3118.78
95-th percentile222.39
Maximum1545.47
Range1503.34
Interquartile range (IQR)50.32

Descriptive statistics

Standard deviation164.3831197
Coefficient of variation (CV)1.339764801
Kurtosis65.37044127
Mean122.6955056
Median Absolute Deviation (MAD)23.65
Skewness7.64074664
Sum10919.9
Variance27021.81005
MonotonicityNot monotonic
2025-03-05T10:35:10.100944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.44 2
 
1.9%
63.27 1
 
0.9%
102.34 1
 
0.9%
54.35 1
 
0.9%
240.05 1
 
0.9%
56.04 1
 
0.9%
187.02 1
 
0.9%
92.27 1
 
0.9%
71.53 1
 
0.9%
55.27 1
 
0.9%
Other values (78) 78
72.2%
(Missing) 19
 
17.6%
ValueCountFrequency (%)
42.13 1
0.9%
45.23 1
0.9%
52.6 1
0.9%
53.02 1
0.9%
54.35 1
0.9%
ValueCountFrequency (%)
1545.47 1
0.9%
403.11 1
0.9%
380.31 1
0.9%
292.15 1
0.9%
240.05 1
0.9%

GT_G
Real number (ℝ)

Missing 

nan

Distinct87
Distinct (%)100.0%
Missing21
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean91.3583908
Minimum30.9
Maximum430.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:10.455600image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum30.9
5-th percentile43.432
Q158.9
median78.2
Q3103.23
95-th percentile149.454
Maximum430.18
Range399.28
Interquartile range (IQR)44.33

Descriptive statistics

Standard deviation59.83998964
Coefficient of variation (CV)0.6550026671
Kurtosis14.37737852
Mean91.3583908
Median Absolute Deviation (MAD)21.44
Skewness3.328897255
Sum7948.18
Variance3580.82436
MonotonicityNot monotonic
2025-03-05T10:35:10.802512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.71 1
 
0.9%
73.22 1
 
0.9%
106.66 1
 
0.9%
150.15 1
 
0.9%
34.88 1
 
0.9%
64.07 1
 
0.9%
74.09 1
 
0.9%
47.67 1
 
0.9%
45.25 1
 
0.9%
80.25 1
 
0.9%
Other values (77) 77
71.3%
(Missing) 21
 
19.4%
ValueCountFrequency (%)
30.9 1
0.9%
34.88 1
0.9%
36.86 1
0.9%
39.04 1
0.9%
43.42 1
0.9%
ValueCountFrequency (%)
430.18 1
0.9%
328.99 1
0.9%
266.02 1
0.9%
242.47 1
0.9%
150.15 1
0.9%

GT_F
Real number (ℝ)

Missing 

nan

Distinct83
Distinct (%)100.0%
Missing25
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean756.7049398
Minimum26.49
Maximum16892.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:11.145791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum26.49
5-th percentile190.664
Q1256.365
median326.35
Q3478.635
95-th percentile2237.125
Maximum16892.9
Range16866.41
Interquartile range (IQR)222.27

Descriptive statistics

Standard deviation2070.865155
Coefficient of variation (CV)2.736687771
Kurtosis48.02801447
Mean756.7049398
Median Absolute Deviation (MAD)76.09
Skewness6.631806215
Sum62806.51
Variance4288482.491
MonotonicityNot monotonic
2025-03-05T10:35:11.497545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
231.69 1
 
0.9%
487.76 1
 
0.9%
8602.4 1
 
0.9%
276.36 1
 
0.9%
1424.93 1
 
0.9%
387.14 1
 
0.9%
297.14 1
 
0.9%
190.33 1
 
0.9%
250.26 1
 
0.9%
249.05 1
 
0.9%
Other values (73) 73
67.6%
(Missing) 25
 
23.1%
ValueCountFrequency (%)
26.49 1
0.9%
138.94 1
0.9%
154.6 1
0.9%
185.05 1
0.9%
190.33 1
0.9%
ValueCountFrequency (%)
16892.9 1
0.9%
8602.4 1
0.9%
3749.38 1
0.9%
2324.09 1
0.9%
2287.11 1
0.9%

GT_T
Real number (ℝ)

Missing 

nan

Distinct80
Distinct (%)98.8%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean36.79802469
Minimum18.62
Maximum489.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:11.850634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum18.62
5-th percentile20.03
Q122.89
median26.71
Q335.8
95-th percentile57.02
Maximum489.12
Range470.5
Interquartile range (IQR)12.91

Descriptive statistics

Standard deviation52.08270969
Coefficient of variation (CV)1.415366997
Kurtosis73.5392284
Mean36.79802469
Median Absolute Deviation (MAD)5.27
Skewness8.391052013
Sum2980.64
Variance2712.608649
MonotonicityNot monotonic
2025-03-05T10:35:12.189995image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.53 2
 
1.9%
23.6 1
 
0.9%
48.07 1
 
0.9%
58.65 1
 
0.9%
23.59 1
 
0.9%
30.62 1
 
0.9%
33.27 1
 
0.9%
22.36 1
 
0.9%
28.95 1
 
0.9%
22.23 1
 
0.9%
Other values (70) 70
64.8%
(Missing) 27
 
25.0%
ValueCountFrequency (%)
18.62 1
0.9%
19.06 1
0.9%
19.07 1
0.9%
20.02 1
0.9%
20.03 1
0.9%
ValueCountFrequency (%)
489.12 1
0.9%
65.61 1
0.9%
64.47 1
0.9%
58.65 1
0.9%
57.02 1
0.9%

GT_C
Real number (ℝ)

Missing 

nan

Distinct80
Distinct (%)98.8%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean107.6293827
Minimum48.77
Maximum535.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:12.515990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum48.77
5-th percentile57.42
Q178.34
median94.35
Q3117.17
95-th percentile202.08
Maximum535.9
Range487.13
Interquartile range (IQR)38.83

Descriptive statistics

Standard deviation62.02098994
Coefficient of variation (CV)0.5762458947
Kurtosis28.31327931
Mean107.6293827
Median Absolute Deviation (MAD)19.08
Skewness4.497320086
Sum8717.98
Variance3846.603193
MonotonicityNot monotonic
2025-03-05T10:35:12.848765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.5 2
 
1.9%
78.34 1
 
0.9%
108.37 1
 
0.9%
75.19 1
 
0.9%
104.42 1
 
0.9%
96.83 1
 
0.9%
83.55 1
 
0.9%
105.74 1
 
0.9%
72.61 1
 
0.9%
122.51 1
 
0.9%
Other values (70) 70
64.8%
(Missing) 27
 
25.0%
ValueCountFrequency (%)
48.77 1
0.9%
50.36 1
0.9%
51.29 1
0.9%
54.67 1
0.9%
57.42 1
0.9%
ValueCountFrequency (%)
535.9 1
0.9%
242.98 1
0.9%
216.1 1
0.9%
203.69 1
0.9%
202.08 1
0.9%

GT_D
Real number (ℝ)

Missing 

nan

Distinct80
Distinct (%)98.8%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean57.97148148
Minimum6.7
Maximum1271.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:13.169235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.7
5-th percentile7.37
Q112
median44.9
Q365.43
95-th percentile97.82
Maximum1271.95
Range1265.25
Interquartile range (IQR)53.43

Descriptive statistics

Standard deviation140.2923012
Coefficient of variation (CV)2.420022702
Kurtosis72.43747666
Mean57.97148148
Median Absolute Deviation (MAD)32.07
Skewness8.296115604
Sum4695.69
Variance19681.92979
MonotonicityNot monotonic
2025-03-05T10:35:13.512111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.83 2
 
1.9%
41.92 1
 
0.9%
78.92 1
 
0.9%
10.01 1
 
0.9%
12.03 1
 
0.9%
67.83 1
 
0.9%
43.25 1
 
0.9%
46.4 1
 
0.9%
12.26 1
 
0.9%
7.6 1
 
0.9%
Other values (70) 70
64.8%
(Missing) 27
 
25.0%
ValueCountFrequency (%)
6.7 1
0.9%
7.0 1
0.9%
7.25 1
0.9%
7.28 1
0.9%
7.37 1
0.9%
ValueCountFrequency (%)
1271.95 1
0.9%
156.77 1
0.9%
118.17 1
0.9%
116.08 1
0.9%
97.82 1
0.9%

GT_M
Real number (ℝ)

Missing 

nan

Distinct79
Distinct (%)100.0%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean376.7862025
Minimum37.95
Maximum7870.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:13.844105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum37.95
5-th percentile118.691
Q1155.08
median187.09
Q3234.755
95-th percentile468.888
Maximum7870.73
Range7832.78
Interquartile range (IQR)79.675

Descriptive statistics

Standard deviation984.5470371
Coefficient of variation (CV)2.613012447
Kurtosis45.7959969
Mean376.7862025
Median Absolute Deviation (MAD)39.9
Skewness6.502706956
Sum29766.11
Variance969332.8682
MonotonicityNot monotonic
2025-03-05T10:35:14.205133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.19 1
 
0.9%
147.19 1
 
0.9%
345.01 1
 
0.9%
145.92 1
 
0.9%
216.89 1
 
0.9%
170.72 1
 
0.9%
183.76 1
 
0.9%
175.48 1
 
0.9%
126.26 1
 
0.9%
145.21 1
 
0.9%
Other values (69) 69
63.9%
(Missing) 29
26.9%
ValueCountFrequency (%)
37.95 1
0.9%
88.12 1
0.9%
105.19 1
0.9%
105.29 1
0.9%
120.18 1
0.9%
ValueCountFrequency (%)
7870.73 1
0.9%
3841.27 1
0.9%
2527.98 1
0.9%
609.54 1
0.9%
453.26 1
0.9%

GT_I
Real number (ℝ)

Missing 

nan

Distinct79
Distinct (%)100.0%
Missing29
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean34.77746835
Minimum4.42
Maximum178.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2025-03-05T10:35:14.536846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.42
5-th percentile5.818
Q118.055
median32.75
Q342.39
95-th percentile80.206
Maximum178.89
Range174.47
Interquartile range (IQR)24.335

Descriptive statistics

Standard deviation26.92721117
Coefficient of variation (CV)0.7742717466
Kurtosis10.47753381
Mean34.77746835
Median Absolute Deviation (MAD)13.52
Skewness2.576756704
Sum2747.42
Variance725.0747012
MonotonicityNot monotonic
2025-03-05T10:35:14.880894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.45 1
 
0.9%
25.47 1
 
0.9%
50.54 1
 
0.9%
33.21 1
 
0.9%
10.58 1
 
0.9%
30.83 1
 
0.9%
54.23 1
 
0.9%
5.88 1
 
0.9%
39.09 1
 
0.9%
35.32 1
 
0.9%
Other values (69) 69
63.9%
(Missing) 29
26.9%
ValueCountFrequency (%)
4.42 1
0.9%
4.68 1
0.9%
5.16 1
0.9%
5.26 1
0.9%
5.88 1
0.9%
ValueCountFrequency (%)
178.89 1
0.9%
110.11 1
0.9%
109.04 1
0.9%
84.85 1
0.9%
79.69 1
0.9%